Life Sciences
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Automation is extending into every aspect of how organizations get work done, and today comes news of a startup that is building tools for one industry in particular: life sciences. Artificial, which has built a software platform for laboratories to assist with, or in some cases fully automate, research and development work, has raised $21.5 million.
It plans to use the funding to continue building out its software and its capabilities, to hire more people, and for business development, according to Artificial’s CEO and co-founder David Fuller. The company already has a number of customers including Thermo Fisher and Beam Therapeutics using its software directly and in partnership for their own customers. Sold as aLab Suite, Artificial’s technology can both orchestrate and manage robotic machines that labs might be using to handle some work; and help assist scientists when they are carrying out the work themselves.
“The basic premise of what we’re trying to do is accelerate the rate of discovery in labs,” Fuller said in an interview. He believes the process of bringing in more AI into labs to improve how they work is long overdue. “We need to have a digital revolution to change the way that labs have been operating for the last 20 years.”
The Series A is being led by Microsoft’s venture fund M12 — a financial and strategic investor — with Playground Global and AME Cloud Ventures also participating. Playground Global, the VC firm co-founded by ex-Google exec and Android co-creator Andy Rubin (who is no longer with the firm), has been focusing on robotics and life sciences and it led Artificial’s first and only other round. Artificial is not disclosing its valuation with this round.
Fuller hails from a background in robotics, specifically industrial robots and automation. Before founding Artificial in 2019, he was at Kuka, the German robotics maker, for a number of years, culminating in the role of CTO; prior to that, Fuller spent 20 years at National Instruments, the instrumentation, test equipment and industrial software giant. Meanwhile, Artificial’s co-founder, Nikhita Singh, has insight into how to bring the advances of robotics into environments that are quite analogue in culture. She previously worked on human-robot interaction research at the MIT Media Lab, and before that spent years at Palantir and working on robotics at Berkeley.
As Fuller describes it, he saw an interesting gap (and opportunity) in the market to apply automation, which he had seen help advance work in industrial settings, to the world of life sciences, both to help scientists track what they are doing better, and help them carry out some of the more repetitive work that they have to do day in, day out.
This gap is perhaps more in the spotlight today than ever before, given the fact that we are in the middle of a global health pandemic. This has hindered a lot of labs from being able to operate full in-person teams, and increased the reliance on systems that can crunch numbers and carry out work without as many people present. And, of course, the need for that work (whether it’s related directly to Covid-19 or not) has perhaps never appeared as urgent as it does right now.
There have been a lot of advances in robotics — specifically around hardware like robotic arms — to manage some of the precision needed to carry out some work, but up to now no real efforts made at building platforms to bring all of the work done by that hardware together (or in the words of automation specialists, “orchestrate” that work and data); nor link up the data from those robot-led efforts, with the work that human scientists still carry out. Artificial estimates that some $10 billion is spent annually on lab informatics and automation software, yet data models to unify that work, and platforms to reach across it all, remain absent. That has, in effect, served as a barrier to labs modernising as much as they could.
A lab, as he describes it, is essentially composed of high-end instrumentation for analytics, alongside then robotic systems for liquid handling. “You can really think of a lab, frankly, as a kitchen,” he said, “and the primary operation in that lab is mixing liquids.”
But it is also not unlike a factory, too. As those liquids are mixed, a robotic system typically moves around pipettes, liquids, in and out of plates and mixes. “There’s a key aspect of material flow through the lab, and the material flow part of it is much more like classic robotics,” he said. In other words, there is, as he says, “a combination of bespoke scientific equipment that includes automation, and then classic material flow, which is much more standard robotics,” and is what makes the lab ripe as an applied environment for automation software.
To note: the idea is not to remove humans altogether, but to provide assistance so that they can do their jobs better. He points out that even the automotive industry, which has been automated for 50 years, still has about 6% of all work done by humans. If that is a watermark, it sounds like there is a lot of movement left in labs: Fuller estimates that some 60% of all work in the lab is done by humans. And part of the reason for that is simply because it’s just too complex to replace scientists — who he described as “artists” — altogether (for now at least).
“Our solution augments the human activity and automates the standard activity,” he said. “We view that as a central thesis that differentiates us from classic automation.”
There have been a number of other startups emerging that are applying some of the learnings of artificial intelligence and big data analytics for enterprises to the world of science. They include the likes of Turing, which is applying this to helping automate lab work for CPG companies; and Paige, which is focusing on AI to help better understand cancer and other pathology.
The Microsoft connection is one that could well play out in how Artificial’s platform develops going forward, not just in how data is perhaps handled in the cloud, but also on the ground, specifically with augmented reality.
“We see massive technical synergy,” Fuller said. “When you are in a lab you already have to wear glasses… and we think this has the earmarks of a long-term use case.”
Fuller mentioned that one area it’s looking at would involve equipping scientists and other technicians with Microsoft’s HoloLens to help direct them around the labs, and to make sure people are carrying out work consistently by comparing what is happening in the physical world to a “digital twin” of a lab containing data about supplies, where they are located, and what needs to happen next.
It’s this and all of the other areas that have yet to be brought into our very AI-led enterprise future that interested Microsoft.
“Biology labs today are light- to semi-automated—the same state they were in when I started my academic research and biopharmaceutical career over 20 years ago. Most labs operate more like test kitchens rather than factories,” said Dr. Kouki Harasaki, an investor at M12, in a statement. “Artificial’s aLab Suite is especially exciting to us because it is uniquely positioned to automate the masses: it’s accessible, low code, easy to use, highly configurable, and interoperable with common lab hardware and software. Most importantly, it enables Biopharma and SynBio labs to achieve the crowning glory of workflow automation: flexibility at scale.”
Harasaki is joining Peter Barratt, a founder and general partner at Playground Global, on Artificial’s board with this round.
“It’s become even more clear as we continue to battle the pandemic that we need to take a scalable, reproducible approach to running our labs, rather than the artisanal, error-prone methods we employ today,” Barrett said in a statement. “The aLab Suite that Artificial has pioneered will allow us to accelerate the breakthrough treatments of tomorrow and ensure our best and brightest scientists are working on challenging problems, not manual labor.”
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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.”
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Just three years after its founding, biotech startup Immunai has raised $60 million in Series A funding, bringing its total raised to over $80 million. Despite its youth, Immunai has already established the largest database in the world for single cell immunity characteristics, and it has already used its machine learning-powered immunity analysts platform to enhance the performance of existing immunotherapies. Aided by this new funding, it’s now ready to expand into the development of entirely new therapies based on the strength and breadth of its data and ML.
Immunai’s approach to developing new insights around the human immune system uses a “multiomic” approach — essentially layering analysis of different types of biological data, including a cell’s genome, microbiome, epigenome (a genome’s chemical instruction set) and more. The startup’s unique edge is in combining the largest and richest data set of its type available, formed in partnership with world-leading immunological research organizations, with its own machine learning technology to deliver analytics at unprecedented scale.
“I hope it doesn’t sound corny, but we don’t have the luxury to move more slowly,” explained Immunai co-founder and CEO Noam Solomon in an interview. “Because I think that we are in kind of a perfect storm, where a lot of advances in machine learning and compute computations have led us to the point where we can actually leverage those methods to mine important insights. You have a limit or ceiling to how fast you can go by the number of people that you have — so I think with the vision that we have, and thanks to our very large network between MIT and Cambridge to Stanford in the Bay Area, and Tel Aviv, we just moved very quickly to harness people to say, let’s solve this problem together.”
Solomon and his co-founder and CTO Luis Voloch both have extensive computer science and machine learning backgrounds, and they initially connected and identified a need for the application of this kind of technology in immunology. Scientific co-founder and SVP of Strategic Research Danny Wells then helped them refine their approach to focus on improving efficacy of immunotherapies designed to treat cancerous tumors.
Immunai has already demonstrated that its platform can help identify optimal targets for existing therapies, including in a partnership with the Baylor College of Medicine where it assisted with a cell therapy product for use in treating neuroblastoma (a type of cancer that develops from immune cells, often in the adrenal glands). The company is now also moving into new territory with therapies, using its machine learning platform and industry-leading cell database to new therapy discovery — not only identifying and validating targets for existing therapies, but helping to create entirely new ones.
“We’re moving from just observing cells, but actually to going and perturbing them, and seeing what the outcome is,” explained Voloch. This, from the computational side, later allows us to move from correlative assessments to actually causal assessments, which makes our models a lot more powerful. Both on the computational side and on the lab side, this are really bleeding edge technologies that I think we will be the first to really put together at any kind of real scale.”
“The next step is to say, ‘Okay, now that we understand the human immune profile, can we develop new drugs?’,” said Solomon. “You can think about it like we’ve been building a Google Maps for the immune system for a few years — so we are mapping different roads and paths in the immune system. But at some point, we figured out that there are certain roads or bridges that haven’t been built yet. And we will be able to support building new roads and new bridges, and hopefully leading from current states of disease or cities of disease, to building cities of health.”
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Boost Biomes, the Y Combinator-backed developer of microbiome-based bio-fungicides and bio-pesticides for agricultural applications, has added $2 million in funding and picked up a new strategic investor in Japan’s Universal Materials Incubator.
To date, Boost Biomes has raised more than $7 million in financing to support the development of new products like its bio-fungicide developed from the microorganisms that live in the soil in a symbiotic relationship with plants.
The work that Boost does is primarily on understanding the interactions between microbes and plants in the soil. “The goal is to be the discovery engine and develop new microbial products for use in food and agriculture,” said Boost chief executive and co-founder Jamie Bacher.
The commitment from Japan’s Universal Materials Incubator expands on a $5 million institutional round led by another strategic partner, Yara International, a global crop nutrition company, and venture investors like Viking Global Investors and Y Combinator.
Boost hopes to tackle issues in agriculture like spoilage, bacterial contamination and pathogen infestations, as well as addressing diseases that can affect plant health directly.
Boost is already working with an undisclosed biomanufacturing partner to develop its bio-fungicide.
“UMI’s decision to invest in Boost comes from our evaluation of their team, technology, and the associated market opportunities. We believe that Boost’s platform generates a unique data set that can be exploited for far superior products with many diverse microbiome applications in food and agriculture,” said Yota Hayama, an investor at UMI, in a statement. “These are critical areas to achieve food security and promote sustainable agriculture. We also expect Boost’s huge potential on other areas where microbiomes are utilized.”
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There’s a growing wave of commercial activity from companies that are creating products using new biological engineering technologies.
Perhaps the most public (and tastiest) example of the promise biomanufacturing holds is Impossible Foods . The meat replacement company whose ground plants (and bioengineered additives) taste like ground beef just raised another $200 million earlier this month, giving the privately held company a $4 billion valuation.
But Impossible is only the most public face for what’s a growing trend in bioengineering — commercialization. Platform companies like Ginkgo Bioworks and Zymergen that have large libraries of metagenomic data that can be applied to products like industrial chemicals, coatings and films, pesticides and new ways to deliver nutrients to consumers.
In fact, by 2021 consumer products made with Zymergen’s bioengineered thin films should be appearing at the Consumer Electronics Show (if there is a Consumer Electronics Show). It’s one of several announcements this year from the billion dollar-valued startup.
In August, Zymergen announced that it was working with herbicide and pesticide manufacturer FMC in a partnership that will see the seven-year-old startup be an engine for product development at the nearly 130-year-old chemical company.
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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.
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In these waning days of the second decade of the twenty-first century, technologists and investors are beginning to lay the foundations for new, truly transformational technologies that have the potential to reshape entire industries and rewrite the rules of human understanding.
It may sound lofty, but new achievements from businesses and research institutions in areas like machine learning, quantum computing and genetic engineering mean that the futures imagined in science fiction are simply becoming science.
And among the technologies that could potentially have the biggest effect on the way we live, nothing looms larger than genetic engineering.
Investors and entrepreneurs are deploying hundreds of millions of dollars to create the tools that researchers, scientists and industry will use to re-engineer the building blocks of life to perform different functions in agriculture, manufacturing and medicine.
One of these companies, 10X Genomics, which gives users hardware and software to determine the functionality of different genetic code, has already proven how lucrative this early market can be. The company, which had its initial public offering earlier this year, is now worth $6 billion.
Another, the still-private company Inscripta, is helmed by a former 10X Genomics executive. The Boulder, Colo.-based startup is commercializing a machine that can let researchers design and manufacture small quantities of new organisms. If 10X Genomics is giving scientists and businesses a better way to read and understand the genome, then Inscripta is giving those same users a new way to write their own genetic code and make their own organisms.
It’s a technology that investors are falling over themselves to finance. The company, which closed on $105 million in financing earlier in the year (through several tranches, which began in late 2018), has just raised another $125 million on the heels of launching its first commercial product. Investors in the round include new and previous investors like Paladin Capital Group, JS Capital Management, Oak HC/FT and Venrock.
“Biology has unlimited potential to positively change this world,” says Kevin Ness, the chief executive of Inscripta . “It’s one of the most important new technology forces that will be a major player in the global economy.”
Ness sees Inscripta as breaking down one of the biggest barriers to the commercialization of genetic engineering, which is access to the technology.
While genome centers and biology foundries can manufacture massive quantities of new biological material for industrial uses, it’s too costly and centralized for most researchers. “We can put the biofoundry capabilities into a box that can be pushed to a global researcher,” says Ness.
Earlier this year, the company announced that it was taking orders for its first bio-manufacturing product; the new capital is designed to pay for expanding its manufacturing capabilities.
That wasn’t the only barrier that Inscripta felt that it needed to break down. The company also developed a proprietary biochemistry for gene editing, hoping to avoid having to pay fees to one of the two laboratories that were engaged in a pitched legal battle over who owned the CRISPR technology (the Broad Institute and the University of California both had claims to the technology).
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DNA Script has raised $38.5 million in new financing to commercialize a process that it claims is the first big leap forward in manufacturing genetic material.
The revolution in synthetic biology that’s reshaping industries from medicine to agriculture rests on three, equally important pillars.
They include: analytics — the ability to map the genome and understand the function of different genes; synthesis — the ability to manufacture DNA to achieve certain functions; and gene editing — the CRISPR-based technologies that allow for the addition or subtraction of genetic code.
New technologies have already been introduced to transform the analytics and editing of genomes, but little progress has been made over the past 50 years in the ways in which genetic material is manufactured. That’s exactly the problem that DNA Script is trying to solve.
Traditionally, making DNA involved the use of chemical compounds to synthesize (or write) DNA in chains that were limited to around 200 nucleotide bases. Those synthetic pieces of genetic code are then assembled to make a gene.
DNA Script’s technology holds the promise of making longer chains of nucleotides by mirroring the enzymatic process through which DNA is assembled within cells — with fewer errors and no chemical waste material. The enzymatic process can accelerate commercial applications in healthcare, chemical manufacturing and agriculture.
“Any technology that can make that faster is going to be very valuable,” says Christopher Voigt, a synthetic biologist at the Massachusetts Institute of Technology in Cambridge, told the journal Nature.
DNA Script isn’t the only company in the market that’s looking to make the leap forward in enzymatic DNA production. Nuclear, a startup working with Harvard University’s famed geneticist, George Church, and Ansa Bio, a startup affiliated with Jay Keasling’s Berkeley lab at the University of California, are also moving forward with the technology.
But the Paris-based company has achieved some milestones that would make its technology potentially the first to come to market with a commercially viable approach.
At least, that’s what new investors LSP and Bpifrance, through its Large Venture fund, are hoping. They’re joined by previous investors Illumina Ventures, M. Ventures, Sofinnova Partners, Kurma Partners and Idinvest Partners in backing the company’s latest funding.
The company said the money would be used to accelerate the development of its first products and establish a presence in the United States.
“As we announced earlier this year at the AGBT General Meeting, DNA Script was the first company to enzymatically synthesize a 200mer oligo de novo with an average coupling efficiency that rivals the best organic chemical processes in use today,” said Thomas Ybert, chief executive and co-founder of DNA Script. “Our technology is now reliable enough for its first commercial applications, which we believe will deliver the promise of same-day results to researchers everywhere, with DNA synthesis that can be completed in just a few hours.”
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Silicon Valley is in the midst of a health craze, and it is being driven by “Eastern” medicine.
It’s been a record year for US medical investing, but investors in Beijing and Shanghai are now increasingly leading the largest deals for US life science and biotech companies. In fact, Chinese venture firms have invested more this year into life science and biotech in the US than they have back home, providing financing for over 300 US-based companies, per Pitchbook. That’s the story at Viela Bio, a Maryland-based company exploring treatments for inflammation and autoimmune diseases, which raised a $250 million Series A led by three Chinese firms.
Chinese capital’s newfound appetite also flows into the mainland. Business is booming for Chinese medical startups, who are also seeing the strongest year of venture investment ever, with over one hundred companies receiving $4 billion in investment.
As Chinese investors continue to shift their strategies towards life science and biotech, China is emphatically positioning itself to be a leader in medical investing with a growing influence on the world’s future major health institutions.
We like to talk about things we can interact with or be entertained by. And so as nine-figure checks flow in and out of China with stunning regularity, we fixate on the internet giants, the gaming leaders or the latest media platform backed by Tencent or Alibaba.
However, if we follow the money, it’s clear that the top venture firms in China have actually been turning their focus towards the country’s deficient health system.
A clear leader in China’s strategy shift has been Sequoia Capital China, one of the country’s most heralded venture firms tied to multiple billion-dollar IPOs just this year.
Historically, Sequoia didn’t have much interest in the medical sector. Health was one of the firm’s smallest investment categories, and it participated in only three health-related deals from 2015-16, making up just 4% of its total investing activity.
Recently, however, life sciences have piqued Sequoia’s fascination, confirms a spokesperson with the firm. Sequoia dove into six health-related deals in 2017 and has already participated in 14 in 2018 so far. The firm now sits among the most active health investors in China and the medical sector has become its second biggest investment area, with life science and biotech companies accounting for nearly 30% of its investing activity in recent years.
Health-related investment data for 2015-18 compiled from Pitchbook, Crunchbase, and SEC Edgar
There’s no shortage of areas in need of transformation within Chinese medical care, and a wide range of strategies are being employed by China’s VCs. While some investors hope to address influenza, others are focused on innovative treatments for hypertension, diabetes and other chronic diseases.
For instance, according to the Chinese Journal of Cancer, in 2015, 36% of world’s lung cancer diagnoses came from China, yet the country’s cancer survival rate was 17% below the global average. Sequoia has set its sights on tackling China’s high rate of cancer and its low survival rate, with roughly 70% of its deals in the past two years focusing on cancer detection and treatment.
That is driven in part by investments like the firm’s $90 million Series A investment into Shanghai-based JW Therapeutics, a company developing innovative immunotherapy cancer treatments. The company is a quintessential example of how Chinese VCs are building the country’s next set of health startups using their international footprints and learnings from across the globe.
Founded as a joint-venture offshoot between US-based Juno Therapeutics and China’s WuXi AppTec, JW benefits from Juno’s experience as a top developer of cancer immunotherapy drugs, as well as WuXi’s expertise as one of the world’s leading contract research organizations, focusing on all aspects of the drug R&D and development cycle.
Specifically, JW is focused on the next-generation of cell-based immunotherapy cancer treatments using chimeric antigen receptor T-cell (CAR-T) technologies. (Yeah…I know…) For the WebMD warriors and the rest of us with a medical background that stopped at tenth-grade chemistry, CAR-T essentially looks to attack cancer cells by utilizing the body’s own immune system.
Past waves of biotech startups often focused on other immunologic treatments that used genetically-modified antibodies created in animals. The antibodies would effectively act as “police,” identifying and attaching to “bad guy” targets in order to turn off or quiet down malignant cells. CAR-T looks instead to modify the body’s native immune cells to attack and kill the bad guys directly.
Chinese VCs are investing in a wide range of innovative life science and biotech startups. (Photo by Eugeneonline via Getty Images)
The international and interdisciplinary pedigree of China’s new medical leaders not only applies to the organizations themselves but also to those running the show.
At the helm of JW sits James Li. In a past life, the co-founder and CEO held stints as an executive heading up operations in China for the world’s biggest biopharmaceutical companies including Amgen and Merck. Li was also once a partner at the Silicon Valley brand-name investor, Kleiner Perkins.
JW embodies the benefits that can come from importing insights and expertise, a practice that will come to define the companies leading the medical future as the country’s smartest capital increasingly finds its way overseas.
Despite heavy investment by China’s leading VCs, Silicon Valley is doubling down in the US health sector. (AFP PHOTO / POOL / JASON LEE)
Innovation in medicine transcends borders. Sickness and death are unfortunately universal, and groundbreaking discoveries in one country can save lives in the rest.
The boom in China’s life science industry has left valuations lofty and cross-border investment and import regulations in China have improved.
As such, Chinese venture firms are now increasingly searching for innovation abroad, looking to capitalize on expanding opportunities in the more mature US medical industry that can offer innovative technologies and advanced processes that can be brought back to the East.
In April, Qiming Venture Partners, another Chinese venture titan, closed a $120 million fund focused on early-stage US healthcare. Qiming has been ramping up its participation in the medical space, investing in 24 companies over the 2017-18 period.
New firms diving into the space hasn’t frightened the Bay Area’s notable investors, who have doubled down in the US medical space alongside their Chinese counterparts.
Partner directories for America’s most influential firms are increasingly populated with former doctors and medically-versed VCs who can find the best medical startups and have a growing influence on the flow of venture dollars in the US.
At the top of the list is Krishna Yeshwant, the GV (formerly Google Ventures) general partner leading the firm’s aggressive push into the medical industry.
Krishna Yeshwant (GV) at TechCrunch Disrupt NY 2017
A doctor by trade, Yeshwant’s interest runs the gamut of the medical spectrum, leading investments focusing on anything from real-time patient care insights to antibody and therapeutic technologies for cancer and neurodegenerative disorders.
Per data from Pitchbook and Crunchbase, Krishna has been GV’s most active partner over the past two years, participating in deals that total over a billion dollars in aggregate funding.
Backed by the efforts of Yeshwant and select others, the medical industry has become one of the most prominent investment areas for Google’s venture capital arm, driving roughly 30% of its investments in 2017 compared to just under 15% in 2015.
GV’s affinity for medical-investing has found renewed life, but life science is also part of the firm’s DNA. Like many brand-name Valley investors, GV founder Bill Maris has long held a passion for the health startups. After leaving GV in 2016, Maris launched his own fund, Section 32, focused specifically on biotech, healthcare and life sciences.
In the same vein, life science and health investing has been part of the lifeblood for some major US funds including Founders Fund, which has consistently dedicated over 25% of its deployed capital to the space since at least 2015.
The tides may be changing, however, as the recent expansion of oversight for the Committee on Foreign Investment in the United States (CFIUS) may severely impact the flow of Chinese capital into areas of the US health sector.
Under its extended purview, CFIUS will review – and possibly block – any investment or transaction involving a foreign entity related to the production, design or testing of technology that falls under a list of 27 critical industries, including biotech research and development.
The true implications of the expanded rules will depend on how aggressively and how often CFIUS exercises its power. But a lengthy review process and the threat of regulatory blocks may significantly increase the burden on Chinese investors, effectively shutting off the Chinese money spigot.
Regardless of CFIUS, while China’s active presence in the US health markets hasn’t deterred Valley mainstays, with a severely broken health system and an improved investment environment backed by government support, China’s commitment to medical innovation is only getting stronger.
Deficiencies in China’s health sector has historically led to troublesome outcomes. Now the government is jump-starting investment through supportive policy. (Photo by Alexander Tessmer / EyeEm via Getty Images)
They say successful startups identify real problems that need solving. Marred with inefficiencies, poor results, and compounding consumer frustration, China’s health industry has many.
Outside of a wealthy few, citizens are forced to make often lengthy treks to overcrowded and understaffed hospitals in urban centers. Reception areas exist only in concept, as any open space is quickly filled by hordes of the concerned, sick, and fearful settling in for wait times that can last multiple days.
If and when patients are finally seen, they are frequently met by overworked or inexperienced medical staff, rushing to get people in and out in hopes of servicing the endless line behind them.
Historically, when patients were diagnosed, treatment options were limited and ineffective, as import laws and affordability issues made many globally approved drugs unavailable.
As one would assume, poor detection and treatment have led to problematic outcomes. Heart disease, stroke, diabetes and chronic lung disease accounts for 80% of deaths in China, according to a recent report from the World Bank.
Recurring issues of misconduct, deception and dishonesty have amplified the population’s mounting frustration.
After past cases of widespread sickness caused by improperly handled vaccinations, China’s vaccine crisis reached a breaking point earlier this year. It was revealed that 250,000 children had been given defective and fallacious rabies vaccinations, a fact that inspectors had discovered months prior and swept under the rug.
Fracturing public trust around medical treatment has serious, potentially destabilizing effects. And with deficiencies permeating nearly all aspects of China’s health and medical infrastructure, there is a gaping set of opportunities for disruptive change.
In response to these issues, China’s government placed more emphasis on the search for medical innovation by rolling out policies that improve the chances of success for health startups, while reducing costs and risk for investors.
Billions of public investment flooded into the life science sector, and easier approval processes for patents, research grants, and generic drugs, suddenly made the prospect of building a life science or biotech company in China less daunting.
For Chinese venture capitalists, on top of financial incentives and a higher-growth local medical sector, loosening of drug import laws opened up opportunities to improve China’s medical system through innovation abroad.
Liquidity has also improved due to swelling global interest in healthcare. Plus, the Hong Kong Stock Exchange recently announced changes to allow the listing of pre-revenue biotech companies.
The changes implemented across China’s major institutions have effectively provided Chinese health investors with a much broader opportunity set, faster growth companies, faster liquidity, and increased certainty, all at lower cost.
However, while the structural and regulatory changes in China’s healthcare system has led to more medical startups with more growth, it hasn’t necessarily driven quality.
US and Western investors haven’t taken the same cross-border approach as their peers in Beijing. From talking with those in the industry, the laxity of the Chinese system, and others, have made many US investors weary of investing in life science companies overseas.
And with the Valley similarly stepping up its focus on startups that sprout from the strong American university system, bubbling valuations have started to raise concern.
But with China dedicating more and more billions across the globe, the country is determined to patch the massive holes in its medical system and establish itself as the next leader in international health innovation.
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