cancer
Auto Added by WPeMatico
The next healthcare revolution will have AI at its center
The global pandemic has heightened our understanding and sense of importance of our own health and the fragility of healthcare systems around the world. We’ve all come to realize how archaic many of our health processes are, and that, if we really want to, we can move at lightning speed. This is already leading to a massive acceleration in both the investment and application of artificial intelligence in the health and medical ecosystems.
Modern medicine in the 20th century benefited from unprecedented scientific breakthroughs, resulting in improvements in every aspect of healthcare. As a result, human life expectancy increased from 31 years in 1900 to 72 years in 2017. Today, I believe we are on the cusp of another healthcare revolution — one driven by artificial intelligence (AI). Advances in AI will usher in the era of modern medicine in truth.
Over the coming decades, we can expect medical diagnosis to evolve from an AI tool that provides analysis of options to an AI assistant that recommends treatments.
Digitization enables powerful AI
The healthcare sector is seeing massive digitization of everything from patient records and radiology data to wearable computing and multiomics. This will redefine healthcare as a data-driven industry, and when that happens, it will leverage the power of AI — its ability to continuously improve with more data.
When there is enough data, AI can do a much more accurate job of diagnosis and treatment than human doctors by absorbing and checking billions of cases and outcomes. AI can take into account everyone’s data to personalize treatment accordingly, or keep up with a massive number of new drugs, treatments and studies. Doing all of this well is beyond human capabilities.
AI-powered diagnosis
I anticipate diagnostic AI will surpass all but the best doctors in the next 20 years. Studies have shown that AI trained on sizable data can outperform physicians in several areas of medical diagnosis regarding brain tumors, eye disease, breast cancer, skin cancer and lung cancer. Further trials are needed, but as these technologies are deployed and more data is gathered, the AI stands to outclass doctors.
We will eventually see diagnostic AI for general practitioners, one disease at a time, to gradually cover all diagnoses. Over time, AI may become capable of acting as your general practitioner or family doctor.
Powered by WPeMatico
New clinical trial data from Locus Biosciences shows promise in CRISPR-Cas3 technology
Antibiotic resistance is one of the biggest potential threats to global health today. But Locus Biosciences is hoping that their crPhage technology might provide a new solution.
Based in North Carolina’s Research Triangle, the startup recently announced promising phase 1b clinical trial results for their use of CRISPR-Cas3-enhanced bacteriophages as a treatment for urinary tract infections caused by escherichia coli. Led in part by former Patheon executive and current Locus CEO Paul Garofolo, the startup launched in 2015 with the goal of using a less popular application of CRISPR technology to address growing antimicrobial resistance.
CRISPR-Cas3 technology has notably different mechanisms from its more well-known CRISPR-Cas9 counterpart. Where the Cas9 enzyme has the ability to cleanly cut through a piece of DNA like a pair of scissors, Garofolo describes Cas3 more like a Pac-Man, shredding the DNA as it moves along a strand.
“You wouldn’t be able to use it for most of the editing platforms people were after,” he said, noting that meant there wouldn’t be as much competition around Cas3. “So I knew it would be protected for some time, and that we could keep it quiet.”
Garofolo and his team wanted to use CRISPR-Cas3 not to edit harmful bacteria found in the body, but to destroy it. To do this, they took the DNA-shredding mechanism of Cas3 and used it to enhance bacteriophages — viruses that can attack and kill different species of bacteria. Together, co-founder and Chief Scientific Officer Dave Ousterout — who has a PhD in biomedical engineering from Duke — thinks this technology offers an extremely direct and targeted way of killing bacteria.
“We armed the phages with this Cas3 system that attacks E. coli, and that sort of dual mechanism of action is what comes together, essentially, as a really potent way to remove just E. coli,” he said in an interview.
That specificity is something that antibiotics lack. Rather than targeting only harmful bacteria in the body, antibiotics typically wipe out all bacteria they come across. “Every time we take antibiotics, we’re not thinking about all the other parts of us that are impacted by the bacteria that do good things,” said Garofolo. But the precision of Locus Biosciences’ crPhage technology means that only the targeted bacteria would be wiped out, leaving those necessary to the body’s normal function intact.
Beyond offering this more specific approach to treatment of pathogens, or any bacteria-based disease, Garofolo and his team also suspect that their approach will also be extremely safe. Though deadly to bacteria, bacteriophages are typically harmless to humans. The safety of CRISPR in humans is well-established, too.
“That’s our secret sauce,” said Garofolo. “We can build drugs that are more powerful than the antibiotics they’re trying to replace, and they use phage, which is probably one of the world’s safest ways to deliver something into the human body.”
While this new technology could certainly help treat pathogens and infectious diseases, Garofolo hopes that indications in immunology, oncology and neurology might benefit from it too. “We’re starting to figure out that some bacteria might promote cancer, or inflammation in your gut,” he said. If researchers can identify the bacteria at the root cause of those conditions, Garofolo and Ousterout think the crPhage technology might prove to be an effective treatment.
“If we’re right about that, it’s not just about infections or antimicrobial resistance, but helping people overcome cancer or delay the onset of dementia,” Garofolo said. “It’s changing the way we think about how bacteria really help us live.”
Early Stage is the premier “how-to” event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included for audience questions and discussion.
Powered by WPeMatico
Senti Bio raises $105 million for its new programmable biology platform and cancer therapies
Senti Biosciences, a company developing cancer therapies using a new programmable biology platform, said it has raised $105 million in a new round of financing led by the venture arm of life sciences giant Bayer.
The company’s technology uses new computational biological techniques to manufacture cell and gene therapies that can more precisely target specific cells in the body.
Senti Bio’s chief executive, Tim Lu, compares his company’s new tech to the difference between basic programming and object-oriented programming. “Instead of creating a program that just says ‘Hello world’, you can introduce ‘if’ statements and object-oriented programming,” said Lu.
By building genetic material that can target multiple receptors, Senti Bio’s therapies can be more precise in the way they identify genetic material in the body and deliver the kinds of therapies directly to the pathogens. “Instead of the cell expressing a single receptor… now we have two receptors,” he said.
The company is initially applying its gene circuit technology platform to develop therapies that use what are called chimeric antigen receptor natural killer (CAR-NK) cells that can target cancer cells in the body and eliminate them. Many existing cell and gene therapies use chimeric antigen receptor T-cells, which are white blood cells in the body that are critical to immune response and destroy cellular pathogens in the body.
However, T-cell-based therapies can be toxic to patients, stimulating immune responses that can be almost as dangerous as the pathogens themselves. Using CAR-NK cells produces similar results with fewer side effects.
That’s independent of the gene circuit, said Lu. “The gene circuit gets you specificity… Right now when you use a CAR-T cell or a CAR-NK cell… you find a target and hope that it doesn’t affect normal cells. We can build logic in our gene circuits in the cell that means a CAR-NK cell can identify two targets rather than one.”
That increased targeting means lower risks of healthy cells being destroyed alongside mutations or pathogens that are in the body.
For Lu and his co-founders — fellow MIT professor Jim Collins, Boston University professor Wilson Wong and longtime synthetic biology operator Phillip Lee — Senti Bio is the culmination of decades of work in the field.
“I compare it to the early days of semiconductor work,” Lu said of the journey to develop this gene circuit technology. “There were bits and pieces of technology being developed in research labs, but to realize the scale at which you need, this has to be done at the industrial level.”
So licensing work from MIT, Boston University and Stanford, Lu and his co-founders set out to take this work out of the labs to start a company.
“When the company was started it was a bag of tools and the know-how on how to use them,” Lu said. But it wasn’t a fully developed platform.
That’s what the company now has and with the new capital from Leaps by Bayer and its other investors, Senti is ready to start commercializing.
The first products will be therapies for acute myeloid leukemia, hepatocellular carcinoma and other, undisclosed, solid tumor targets, the company said in a statement.
“Leaps by Bayer’s mission is to invest in breakthrough technologies that may transform the lives of millions of patients for the better,” said Juergen Eckhardt, MD, head of Leaps by Bayer. “We believe that synthetic biology will become an important pillar in next-generation cell and gene therapy, and that Senti Bio’s leadership in designing and optimizing biological circuits fits precisely with our ambition to prevent and cure cancer and to regenerate lost tissue function.”
Lu and his co-founders also see their work as a platform for developing other cell therapies for other diseases and applications — and intend to partner with other pharmaceutical companies to bring those products to market.
“Over the past two years, our team has designed, built and tested thousands of sophisticated gene circuits to drive a robust product pipeline, focused initially on allogeneic CAR-NK cell therapies for difficult-to-treat liquid and solid tumor indications,” Lu said in a statement. “I look forward to continued platform and pipeline advancements, including starting IND-enabling studies in 2021.”
The new financing round brings Senti’s total capital raised to just under $160 million and Lu said the new money will be used to ramp up manufacturing and accelerate its work partnering with other pharmaceutical companies.
The current time frame is to get its investigational new drug permits filed by late 2022 and early 2023 and have initial clinical trials begun in 2023.
Developing gene circuits is a new and expanding field with a number of players, including Cell Design Labs, which was acquired by Gilead in 2017 for up to $567 million. Other companies working on similar therapies include CRISPR Therapeutics, Intellius and Editas, Lu said.
Powered by WPeMatico
Mission Bio raises $70 million to help scale its tech for improving the development of targeted cancer therapies
California-based startup Mission Bio has raised a new $70 million Series C funding round, led by Novo Growth and including participation from Soleus Capital and existing investors Mayfield, Cota and Agilent. Mission Bio will use the funding to scale its Tapestri Platform, which uses the company’s work in single-cell multi-omics technology to help optimize clinical trials for targeted, precision cancer therapies.
Mission Bio’s single-cell multi-omics platform is unique in the therapeutic industry. What it allows is the ability to zero in on a single cell, observing both genotype (fully genetic) and phenotype (observable traits influenced by genetics and other factors) impact resulting from use of various therapies during clinical trials. Mission’s Tapestri can detect both DNA and protein changes within the same single cell, which is key in determining effectiveness of targeted therapies because it can help rule out the effect of other factors not under control when analyzing in bulk (i.e. across groups of cells).
Founded in 2012 as a spin-out of research work conducted at UCSF, Mission Bio has raised a total of $120 million to date. The company’s tech has been used by a number of large pharmaceutical and therapeutic companies, including Agios, LabCorp and Onconova Therapeutics, as well as at cancer research centers including UCSF, Stanford and the Memorial Sloan Kettering Cancer Center.
In addition to helping with the optimization of clinical trials for treatments of blood cancers and tumors, Mission’s tech can be used to validate genome editing — a large potential market that could see a lot of growth over the next few years with the rise of CRISPR-based therapeutic applications.
Powered by WPeMatico
Paige, the computational pathology startup targeting cancer, closes a Series B at $70M
Paige, the startup that spun out of the Memorial Sloan Kettering Cancer Center and launched in 2018 to help advance cancer research and care by applying AI to better understand cancer pathology, is today announcing a milestone in its growth story: it has raised a further $20 million from Goldman Sachs and Healthcare Venture Partners, closing out its Series B at $70 million.
Leo Grady, Paige’s CEO, says the funding will go toward several areas.
It will be used for hiring; to continue expanding its partnerships with biopharmaceutical companies (deals that have not yet been made public); and to continue investing in clinical work, based around algorithms it has built and trained using more than 25 million pathology slides in MSK’s archive, plus IP related to the AI-based computational pathology that underpins Paige’s work. It will also be used to help it expand to the U.K. and Europe. Paige has a CE mark to be used clinically in both regions and the startup already has beta sites in the U.K. and EU, but it hasn’t had a fully commercial launch in either region, Grady said.
Paige — which has now raised more than $95 million with other investors, including Breyer Capital, MSK and Kenan Turnacioglu — is keeping quiet about its valuation. But for some context, we noted that it was around $208 million when the first tranche of the round was announced — $45 million in December 2019, with a further $5 million in April. It attracted this latest $20 million in part because business has been strong, Grady noted. As a result, despite it being a generally tough climate for raising money right now, Paige didn’t face those challenges.
“The climate in which Goldman made its initial investment” — the $5 million round in April — “was when COVID-19 had hit hard and they were realising the magnitude,” Grady said. “They wanted to see how things played out for Paige in the economy. But the way it has been going has been encouraging.”
Indeed, a lot of attention these days is focused around the current public health crisis making its way around the world in the form of COVID-19, and the knock-on effects that it is having across the economy and socially. Paige’s growth in that context has been interesting.
We’re still in the early stages of understanding COVID-19 and how it interacts with other conditions (such as cancer) — and it’s not an area that Paige is directly exploring in its work. But in the meantime, its platform — based around digitised slides — has come into its own for clinicians and others who can no longer regularly physically visit laboratories.
Paige’s enterprise imaging system — the company was co-founded by Dr Thomas Fuchs, known as the “father of computational pathology” and is the director of Computational Pathology in The Warren Alpert Center for Digital and Computational Pathology at Memorial Sloan Kettering, as well as a professor of machine learning at the Weill Cornell Graduate School of Medical Sciences; and Dr David Klimstra, chairman of the department of pathology at MSK — allows users to view digital slides remotely, and while all hardware manufacturers today have digital viewers, these are proprietary, tied to those scanners and “not built for high performance,” Grady noted.
Paige’s platform allows its users not only to share research and primary data without physically sending slides around, but to use high performance software built to “read” the data in a more comprehensive way than clinicians and researchers would otherwise be able to do. That initially has been applied to work in prostrate and breast cancers but is now also being explored around other cancers as well, Grady said. “We’re adding in information to the workflow, boosting the confidence and quality of data. The first piece [the platform and the slides] enables the second piece.”
The Goldman Sachs investment is coming from the financial services giant’s merchant banking division, and as part of it, David Castelblanco, MD at Goldman Sachs, has joined Paige’s board of directors.
“We have been very impressed with the company and its pace of development,” he said in a statement. “We are excited to increase our commitment to support Leo, Thomas and the Paige team’s transformative work with artificial intelligence and machine learning in the cancer field.”
“We initially invested in Paige recognizing the potential of their products to add significant value to the industry and impact the future of cancer care,” added Jeffrey C. Lightcap, senior managing director of Healthcare Venture Partners. “After seeing Paige make tremendous progress in such a short period, we added to our investment to further accelerate their growth.”
Powered by WPeMatico
Lucid Lane has developed a service to get patients off of pain meds and avoid addiction
Four years ago, Adnan Asar, the founder of the new addiction prevention service Lucid Lane, was enjoying a successful career working as the founding chief technology officer at Livongo Health. It was the serial senior tech executive’s most recent job after a long stint at Shutterfly and he was shepherding the company through the development of its suite of hardware and software for the management of chronic conditions.
But when Asar’s wife was diagnosed with non-Hodgkin’s Lymphoma, he stepped away from the technology world to be with his family while she underwent treatment.
He did not know at the time that the decision would set him on the path to founding Lucid Lane. The company’s mission is to help give patients who have been prescribed medications to address pain and anxiety ways to wean themselves off those drugs and avoid addiction — and its purpose is born from the struggle Asar witnessed as his wife wrestled with how to stop taking the medication she was prescribed during her illness.
Asar’s wife isn’t alone. In 2018, there were roughly 168.2 million prescriptions for opioids written in the United States, according to data from the Centers for Disease Control and Prevention. Lucid Lane estimates that 50 million people are prescribed opioids and another 13 million are prescribed benzodiazepines each year either after surgery or in conjunction with cancer treatments — all without a plan for how to manage or taper the use of these highly addictive medications.
For Asar’s wife, it was the benzodiazepine prescribed as part of her cancer treatment that became an issue. “She was hit by very severe withdrawal symptoms and we didn’t know what was going on,” Asar said. When they consulted her physician he gave the couple two options — quitting cold turkey or remaining on the medication.
“My wife decided to go cold turkey,” Asar said. “It was really debilitating for the whole family.”
It took nine months of therapy and regular consultations with psychiatrists to help with tailoring medication dosages and tapering to get her off of the medication, said Asar. And that experience led to the launch of Lucid Lane.
“Our goal is to prevent and control medication and substance dependence,” Asar said.
The company’s telehealth solution is built on a proprietary treatment protocol meant to provide continuous daily support and interventions, along with proactive monitoring of a personalized treatment plan — all on an ongoing basis, said Asar.
And the COVID-19 pandemic is only accelerating the need for telehealth services. “COVID-19 has made telehealth a mandatory service instead of a discretionary service,” said Asar. “There’s a surge in anxiety, depression, substance use and medication use. We’re seeing a surge of patients who are reaching out to us.”
Asar sees Lucid Lane’s competitors as companies like Lyra Health and Ginger, or point solutions building digital diagnostics to detect anxiety and depression. But unlike some companies that are launching to treat addiction or addictive behaviors, Asar sees his startup as preventing dependency and addiction.
“A lot of people are sliding into these addictions through something that happens at the doctor’s office,” said Asar. ” Our solution does not prescribe any of these medications.”
The company is working on clinical studies that are set to start at the Palo Alto VA hospital, and has raised $4 million in seed funding from investors including Battery Ventures and AME Cloud Ventures, the investment firm founded by Jerry Yang.
“We see great potential for Lucid Lane, as it has developed a scalable solution to one of the biggest problems facing society today,” said Battery general partner Dharmesh Thakker, in a statement. “Telehealth solutions have emerged as highly capable of addressing complex problems, and Lucid Lane has embraced remote care from its beginning. Its design enables care anytime, anywhere for patients in their moment of need. This can make a tremendous difference in the battle between recovery and relapse. We believe that it will help millions of people lead better lives.”
Joining Asar in the development of the company and its healthcare protocols are a seasoned team of health professionals, including Dr. Ahmed Zaafran, a board certified anesthesiologist at Santa Clara Valley Medical Center and assistant professor of anesthesiology (affiliated) at Stanford University School of Medicine; and advisors like Dr. Vanila Singh, who was also previously chairperson of the HHS Task Force in conjunction with the DOD and the VA to address the opioid drug crisis; Dr. Carin Hagberg, the chair of anesthesiology, perioperative and pain medicine of MD Anderson Cancer Center; and Sherif Zaafran, the president of the Texas Medical Board and chair of multiple national committees on pain management, including the subcommittee Taskforce on Pain Management Services for HHS, as well as the department’s Pain Clinical Pathways Committee.
“Lucid Lane provides a patient-centered solution that allows for the best clinical outcomes for patients after surgery and those bravely finishing chemotherapy,” said Dr. Singh, in a statement. “For the many patients who require short-term opioids and benzodiazepine medications, Lucid Lane’s treatment can limit the risk of prolonged dependence of these medications while also ensuring effective pain control with a resulting improved quality of life and functioning.”
Powered by WPeMatico
Owkin raises $25 million as it builds a secure network for healthcare analysis and research
Imagine a model of collaborative research and development among hospitals, pharmaceutical companies, universities and other research institutions where no one shared any actual data.
That’s the dream of the new New York-based startup Owkin, which has raised $25 million in fresh financing from investors, including Bpifrance Large Venture, Cathay Innovation and MACSF (the French Pension Fund for Clinicians), alongside previous investors GV, F-Prime Capital and Eight Roads.
The company’s pitch is that data scientists, clinical doctors, academics and pharmaceutical companies can all log in to the virtual lab that Owkin calls the Owkin Studio.
In that virtual environment, all parties can access anonymized data sets and models exclusively to refine their own research and development and studies to ensure that the most cutting-edge insights into novel biomarkers, mechanisms of action and predictive models inform the work that all of the relevant parties are doing.
The ultimate goal, the company said, is to improve patient outcomes.
In its quest to get more companies and institutions to open up and share information — with the promise that the information can’t be extracted or used in a way that isn’t allowed by the owners of the data — Owkin is replicating work that other companies are pursuing in fields ranging from healthcare to financial services and beyond.
The Israeli company Qedit has developed similar technologies for the financial services industry, and Sympatic, a recent graduate from one of the recent batches of Techstars companies, is working on a similar technology for the healthcare industry.
Owkin makes money by enabling remote access to the data sets for pharmaceutical companies and licensing the models developed by universities to those companies. It’s a way for the company to entice researchers to join the platform and provide another revenue stream for research institutions who have seen their funding decline over the last 40 years.
“We have a huge loop of academic universities that have access to the data and are developing algorithms and we share data,” said the company’s chief executive Dr. Thomas Clozel. “At the end what it helps is developing better drugs.”
Declines in federal funding for scientific research since the 1980s (Image courtesy of The Conversation)
The investment from Owkin’s new and existing investors takes the company to $55 million in total capital raised through the extension of its Series A round. In all, the round totaled $52 million, Clozet said.
“We are exactly where we need to be because it’s about privacy and privacy is more important than ever before,” said Clozet.
The COVID-19 epidemic has emphasized the need for closer collaboration among different corporations and research institutions, and that has also increased demand for the company’s technology. “It touches everything… We have access to the right data sets and centers to build the best models for COVID,” said Clozet. “We’re lucky to have the right traction before the COVID happens and we have the right research that has been done.”
In fact, the company has launched the Covid-19 Open AI Consortium (COAI), and is using its platform to advance collaborative research and accelerate clinical development of effective treatments for patients infected with the coronavirus, the company said. All of its findings will be shared with the global medical and scientific communities.
The initial focus on the research is on cardiovascular complications in COVID-19 patients in collaboration with CAPACITY, an international registry working with over 50 centers worldwide, the company said. Other areas of research will include patient outcomes and triage, and the prediction and characterization of immune response, according to Owkin.
“Since we first backed Owkin in 2017, we have been sharing its vision to apply AI to fighting one of the most dreadful diseases on earth: cancer,” said Jacky Abitbol, a partner at Cathay Innovation. “Owkin has risen to become a leader in digital health, we are proud to grow our investment in the company to fuel its ambition to pioneer AI for medical research, while preserving patient-privacy and data security.”
Powered by WPeMatico
Paige raises $45M more to map the pathology of cancer using AI
One of the more notable startups using artificial intelligence to understand and fight cancer has raised $45 million more in funding to continue building out its operations and inch closer to commercialising its work.
Paige — which applies AI-based methods such as machine learning to better map the pathology of cancer, an essential component of understanding the origins and progress of a disease with seemingly infinite mutations (its name is an acronym of Pathology AI Guidance Engine) — says it will be use the funding to inch closer to FDA approvals for products it is developing in areas such as biomarkers and prognostic capabilities.
It also plans to use the funding to continue developing better ways of diagnosing and ultimately fighting the disease, as well as exploring further commercial opportunities for its work, specifically within the bio-pharmaceutical industry.
This round is being led by Healthcare Venture Partners, with previous investor Breyer Capital, Kenan Turnacioglu and other funds participating. The company is not disclosing its valuation, but PitchBook noted that a first close of this round (when it raised $33 million) put the valuation at $208 million. That would value Paige now at about $220 million with the $45 million close, more than three times its valuation in its previous round.
Paige first emerged from stealth back in 2018 — with a bang.
Paige.AI — as it was known at the time — was hatched inside the Memorial Sloan Kettering Cancer Center, one of the world’s foremost institutions both for working on cancer therapies and treating cancer patients, and along with a $25 million investment led by Jim Breyer, Paige had secured exclusive access to MSK’s 25 million pathology slides as well as its intellectual property related to the AI-based computational pathology that underpinned its work. These slides make up one of the biggest repositories of its kind in the world, and as all solutions and services built on machine learning are only as good as the data that’s fed into them, they were critical to the startup’s beginnings.
The startup also launched with some serious talent behind it.
Much of the computational pathology being used by Paige had been developed by Dr Thomas Fuchs, who is known as the “father of computational pathology” and is the director of Computational Pathology in The Warren Alpert Center for Digital and Computational Pathology at Memorial Sloan Kettering, as well as a professor of machine learning at the Weill Cornell Graduate School of Medical Sciences.
Fuchs co-founded Paige with Dr David Klimstra, chairman of the department of pathology at MSK, and Fuchs had originally started out as the CEO of Paige, but was replaced earlier this year by Leo Grady, who joined from another bio-startup, Heartflow (another company backed by Healthcare Venture Partners). Fuchs is still supporting the company, but no longer in an executive role.
In the nearly two years since it launched, there have been some milestones reached. The company, which has around 30 employees today, has been the first to get an FDA breakthrough designation (which helps expedite the long process of drug approvals in urgent areas where there are few or no other options for patients) for using AI in oncology pathology. It’s also the first to get a CE mark in the same category, which opens the door to working in Europe, too. Paige has so far ingested 1.2 million images into its slide database and is using them — in algorithms that also take in genomic data, drug response data and outcome data — to work on developing diagnostic solutions.
But as with all new medical products, progress is not measured in quarters as it might be with a more typical tech startup. Moving fast and breaking things is something to be avoided. So even with all of the above advances, there has yet to be any commercial products launched, nor is Grady giving any specific time frames for when they will. And when the company came out of stealth in 2018, it said it would be focusing on breast, prostate and other major cancers, although today it’s not as quick to specify what its targets will be when it does launch commercial products.
Similarly, it’s also expanding its remit from primarily clinical environments to pharmaceutical ones.
“The clinical side is still our focus, but this is an expansion and realisation that this has a broader impact, and that includes pharmaceutical customers,” Grady said.
And the dropping of the .AI in its name was also intentional, in part a reaction it seems to how much AI gets thrown around today.
“There is a fundamental misconception, which is thinking of AI as a product and not a technology,” said Grady. “It’s a technology set that can allow you to do many things that could not have been done in the past, but you need to apply it in a meaningful way. Developing a good AI and putting that on the market will not cut it in terms of clinical adoption.”
The funding round, Grady said, saw a lot of interest from strategic investors, although the company intentionally has stayed away from these.
“We were approached by all of the scanner vendors and some of the biopharmaceutical companies,” he said. “But we made the decision to not take a strategic investment with this round because we wanted to be neutral with hardware vendors and not be too tied with any one.”
He also pointed to the challenges of talking to investors when you are working in a cutting-edge area (a challenge that has foxed many an investor also into backing the wrong horses, too, such as Theranos).
“We’re at the intersection of three areas: tech, medical devices and clinical medicine, and life sciences and biotech,” he said. “Many investors sit squarely in one and don’t feel comfortable in others. That makes the conversations challenging and short. But there has been an increasing blend between those three sectors.”
That’s where Healthcare Venture Partners fits into the mix. “Paige exemplifies the benefits of digital pathology and represents the bright future of AI-driven medical diagnosis,” said Jeff Lightcap of Healthcare Venture Partners, in a statement. “As hospitals embark on digital transformations, they will face challenges associated with these transitions. We believe Paige addresses many of these issues by enhancing the ability of clinical teams and pathologists to collaborate. We’re confident in Paige’s future and believe they will continue to develop cutting-edge technologies that enable pathology departments to transform their practices, which have changed little in the last century.”
“We applaud Paige’s commitment to building clinical AI products that will improve the diagnostic process and patient care,” added Jim Breyer of Breyer Capital, in a statement. “This is a critical time for Pathology, as pathologists are carrying a heavier workload than ever before. Paige understands their needs and the team has built cutting-edge technologies to address them. Paige represents the future of computational pathology and we look forward to their continued growth and success.”
Powered by WPeMatico
Trialjectory uses self-reported clinical data to match cancer patients with clinical trials
Trialjectory, which is developing a new technology service to match cancer patients with clinical trials, has raised $2.7 million to finance its continued growth.
Led by Contour Venture Partners, the new financing will be used to accelerate Trialjectory’s operations by adding more clinical trials for different cancer types and expanding the company’s outreach to caregivers, pharmaceutical companies and patients, the company said.
“As cancer is the second leading cause of death for Americans — with thousands of new cases diagnosed each year — having access to advanced treatment options is a necessity, not a privilege, as new trials provide better outcomes to patients,” said Tzvia Bader, Trialjectory chief executive and co-founder. “What’s more, one of the top obstacles that oncologists face today is the lack of clinical trial access for patients, which is due to the availability of more treatment options overall. Additionally, it is a very complex process to match the right patient with the right treatment, especially with the rise of personalized medicine.”
The company currently supports trials for breast cancer, colon cancer, bladder cancer, melanoma and myelodysplastic syndromes.
Trialjectory’s software was trained to seek out keywords in unstructured treatment descriptions and extracting relevant data. Its software then groups that information into clusters and standardizes the information to create a database that highlights patient attributes that would be appropriate for clinical trials.
Patients are then matched to the clinical trials after filling out a questionnaire.
“Trialjectory’s work — driven by a highly experienced management team, comprised of both oncology and technology experts — is disrupting and reshaping how we think about traditional cancer care today,” concluded Bob Greene, from Contour Venture Partners . “Even more important, it is empowering patients to take back control of their treatment, and we look forward to watching Trialjectory’s platform continue to grow quickly. We believe that the company has the potential to become a go-to resource for the global medical community to help doctors provide personalized, matched treatment options to patients in need everywhere.”
Powered by WPeMatico
Luna is a new kind of space company helping biotech find its footing in microgravity
Toronto-based startup Luna Design and Innovation is a prime example of the kind of space company that is increasingly starting up to take advantage of the changing economics of the larger industry. Founded by Andrea Yip, who is also Luna’s CEO, the bootstrapped venture is looking to blaze a trail for biotechnology companies who stand to gain a lot from the new opportunities in commercial space – even if they don’t know it yet.
“I’ve spent my entire career in the public and private health industry, doing a lot of product and service design and innovation,” Yip told me in an interview. “I was working in pharma[ceuticals] for several years, but at the end of 2017, I decided to leave the pharma world and I really wanted to find a way to work along the intersection of pharma, space and design, because I just believe that the future of health for humanity is in space.”
Yip founded Luna at the beginning of this year to help turn that belief into action, with a focus on highlighting the opportunities available to the biotechnology sector in making use of the research environment unique to space.
“We see space as a research platform, and we believe that it’s a research platform that can be leveraged in order to solve healthcare problems here on Earth,” Yip explained. “So for me, it was critically important to open up space to the biotech sector, and to the pharma sector, in order to use it as a research platform for R&D and novel discovery.”
The International Space Station has hosted a number of pharma and biotech experiments.
NASA’s work in space has led to a number of medical advances, inducing digital imaging tech used in breast biopsy, transmitters used for monitoring fetus development within the womb, LED’s used in brain cancer surgery and more. Work done on researching and developing pharmaceuticals in space is also something that companies including Merck, Proctor & Gamble and other industry heavyweights have been dabbling in for years, with experiments conducted on the International Space Station. Companies like SpaceFarma have now sent entire minilaboratories to the ISS to conduct research on behalf of clients. But it’s still a business with plenty of remaining under-utilized opportunity, according to Yip – and tons of potential.
“I think it’s a highly underutilized research platform, unfortunately, right now,” she said. “When it comes to certain physical and life sciences phenomena, we know that things behave differently in space, in what we refer to as microgravity-based environments […] We know that cancer cells, for instance, behave differently in short- and longer-term microgravity when it comes to the way that they metastasize. So being able to even acknowledge that type of insight, and try and understand ‘why’ can unlock a lot of new discovery and understanding about the way cancer actually functions […] and that can actually help us better design drugs, and treatment opportunities here on Earth, just based on those insights.”
Blue Origin’s New Shepard rocket. Credit: Blue Origin .
Yip says that while there has been some activity already in biotech and microgravity, “we’re on the early end of this innovation,” and goes on to suggest that over the course of the next ten or so years, the companies that will be disrupting the existing class of legacy big pharma players will be ones who’ve invested early and deeply in space-based research and development.
The role of Luna is to help biotech companies figure out how best to approach building out an investment in space-based research. To that end, one of its early accomplishments is securing a role as a ‘Channel Partner’ for Jeff Bezos’ commercial space launch company Blue Origin. This arrangement means that Luna acts a a sales partner for Blue Origin’s New Shepard suborbital rocket, working with potential clients for the Amazon founder’s rocket company on how and why they might seek to set up a sub-orbital space-based experiment.
That’s the near-term vision, and the way that Luna will seek to have the most impact here on Earth. But the possibilities of what the future holds for the biotech sector start to really open up once you consider the current trajectory of the space industry, including NASA’s next steps, and efforts by private companies like SpaceX to expand human presence to other planet.
“We’re talking about going back to the Moon by 2024,” Yip says, referring to NASA’s goal with its Artemis program. “We’re talking about going to Mars in the next few years. There’s a lot that we will need to uncover and discover for ourselves, and I think that’s a huge opportunity. Who knows what we’ll discover when we’re on other planets, and we’re actually putting people there? We have to start preparing for that and building capability for that.”
Powered by WPeMatico