How can #machinelearning help us find better medicines and reinvent #drugdiscovery? Join insitro CEO and founder Daphne Koller on Monday in Boston at Fierce Biotech’s #FierceBiotechSummit 2024 for the kick-off keynote. She will take you inside insitro, diving deep into what the #AI wave means for discovery including: ?? Why a “quiet” revolution in #biology is just as significant as the AI revolution ?? How high-quality data and AI are uncovering novel drug targets? ?? What we’re doing to find new therapies for the patients who can benefit most Catch the future of therapeutics discovery and development. Learn more and register: https://lnkd.in/gZiJ8nHE
insitro
生物技术研究
South San Francisco,California 25,913 位关注者
Making medicines differently to bring better drugs faster to the patients who benefit most with ML and data at scale.
关于我们
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We’re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes. This cannot be done without great people. We are bringing together an outstanding team of people whose expertise spans multiple disciplines - life sciences, machine learning, human genetics, engineering, and drug discovery - and building a unique culture where people from diverse backgrounds work as a single team towards a common goal. We offer opportunities to collaborative people with expertise in life science and computational science. Join us to help bring better health to more people, faster and cheaper.
- 网站
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https://www.insitro.com
insitro的外部链接
- 所属行业
- 生物技术研究
- 规模
- 201-500 人
- 总部
- South San Francisco,California
- 类型
- 私人持股
- 创立
- 2018
- 领域
- biotech、machine learning、data science、drug development、science和life science
地点
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主要
259 E Grand Ave
US,California,South San Francisco,94080
insitro员工
动态
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insitro VP, Metabolic Disease David Lloyd is set to shine ? at the 8th Annual MASH Drug Development Summit in Boston!?He’ll be sharing his expert insights ???? on how #machinelearning is revolutionizing genetic target discovery and novel therapies for #MASH.
Looking forward to co-hosting my first workshop at the 8th Annual MASH Drug Development Summit this year. Join me and Galectin Therapeutics VP, Ezra Lowe, as we compare notes on identifying new treatment opportunities.? We’ll be sharing how #MachineLearning helps to uncover genetic targets and protein-based therapies. Join us for the interactive session? on Tuesday September 24th at 2:30 p.m. ET. https://lnkd.in/g9UhbwNB
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Check it out! Last week Christoph Klein, our director of software engineering, presented to a terrific 200+ crowd for Biocom California’s Converge Meet-Up event co-hosted by Bits in Bio and Nucleate. He joined speakers from InstaDeep, ThinkingNode Life Science, Inc., NVIDIA, EvolutionaryScale and Sphinx Bio. Thank you to all the organizers for putting on such a lovely event to network, compare notes, and find more opportunities to cross-pollinate. Christoph presented how insitro built and invested in “POSH” (Pooled Optical Screening in Human cells). He talked about all the ways our software teams worked closely with our wet lab scientists to build and scale this unique capability to perform genetic screening up to genome-wide scale.? ?? What is POSH? ?? It enables unbiased target discovery and is powered by #machinelearning ?? It combines high throughput gene editing with multimodal image-based phenotyping ??It investigates perturbations of cellular systems – at scale – to develop better therapeutic targets ?? It works across different disease areas and imaging modalities, making it a versatile discovery engine POSH helps us decode biology and find better starting points for new medicines.??? If you want to work on POSH or one of the other bleeding edge platform tools our team is inventing and/or building, check out our careers page. https://lnkd.in/eTueFdYN
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What is Possible? Reinventing drug discovery. That is the topic Daphne Koller explores in depth with Reid Hoffman and Aria Finger on their signature Possible podcast. It starts with the ability to measure #biology at high fidelity and scale, across multiple modalities – a perfect opportunity for #machinelearning. That enables us to do more by “taking the data you get and creating from it the data that you don’t have,” as Daphne describes it - opening the door to new insights on disease that underpin new therapeutic interventions. Tune in to hear: ?? how we uncover new therapeutic hypotheses? ?? the distinction between personalized and personal medicine? ?? why exponential curves are deceptive ?? what her postdoc advisor Stuart Russell asked that made Daphne’s jaw drop? ??? a surprising book pick that helps Daphne stay optimistic Spoiler alert - it’s not in the life sciences, but about our shared long term future. “Not the End of the World: How We Can Be the First Generation to Build a Sustainable Planet.”??? Don’t miss this exciting conversation from the industry’s best. Listen below. ?
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Drum roll… insitro joins Fast Company’s 2024 100 Best Workplaces for Innovators list! Proud to be #21 and to be home to leading minds in #drugdiscovery and #machinelearning to bring better medicines faster to the patients who can benefit most. We believe the solution to the toughest challenges in medicine lies at the intersection of machine learning and tremendous advances in biology. That’s why we foster bilingualism so life scientists and computational scientists as well as engineers and researchers can learn from each other and work side by side. No surprise: two of our core values are to “be bold” and “create together.” #FCBESTWORKPLACES recognizes this unique culture, where creativity thrives and collaboration is natural. Kudos to all the other innovators bringing people together to push the boundaries in their fields. Check out the list: https://lnkd.in/dJJEm8K4
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This summer, insitro hosted an exceptional group of students taking a pause from their BS, MS or?Ph.D. studies. They hailed from near –? University of California, Berkeley, Caltech, University of California, San Francisco, Stanford University – and far – University of Toronto, Cornell University, New York University, Massachusetts Institute of Technology, Harvard University and Carnegie Mellon University – to name a few. These “insitrocytes for a summer” immersed themselves in #ML-driven drug discovery research and helped advance our mission to find better medicines faster for the patients who can benefit most. Their projects explored both scientific and engineering problems: from advanced ML to uncover insights into gene behavior to designing large-scale genomic studies to developing models for single-cell data analysis. The summer was also about curiosity, exploration, and team-building. They had lively conversations, exchanged ideas and enriched the community at insitro. A special shout-out to our intern mentors for their guidance, as we nurture the next generation of innovators. Thank you to our interns: we can’t wait to see what you do next to help shape the future of medicine. Summer may be over, but several have extended their projects, so more to come. Thanks to all for an inspiring season of innovation. Here's to biotech's future!
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Today, insitro founder and CEO Daphne Koller was named to TIME’s 2024 #TIME100AI list! Daphne joins 99 other influential voices in #AI who are shaping critical conversations about its impact on our world. This recognition reflects her vision and leadership, which are at the heart of insitro’s mission to bring better medicines faster to the patients who can benefit most. As #AI continues to transform so many industries, we're honored to work towards the aspiration of making a healthier world. Congratulations to Daphne and all the incredible recipients on this well-deserved recognition! ???? Read more: https://lnkd.in/eZ8D7Szp
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Terrific listening to our CEO Daphne Koller and Jeffrey Reid of the Regeneron Genetics Center compare notes on #AI, genetics, #DEI, and talent pathways. They reinforced the urgent task of improving medicines for patients on Regeneron's new podcast, "The Nucleus." It was great to kick off the series by dissecting the underappreciated revolution in human biology “to quantitatively measure biology at high fidelity and at a high scale” and what it means for drug discovery, plus much more. Here are a few of our favorite insights from Daphne’s conversation with Jeff: 1. Why ML is essential for data-driven biology: With the explosion of tools to measure biological systems at various scales, "there's just no way for the human mind to assimilate and extract the information." But Daphne noted that “while you can interrogate biology at the level of cells, ultimately what you care about is curing humans, not cells," which is why insitro incorporates high-content human clinical data into our discovery strategy. 2. Why genetic diversity opens new windows: The more diverse the data from human genetics, the more we can explore new findings for drug discovery. Daphne shared that “variants that are only relevant in a certain subset of the population are often new windows into disease.” This is why it’s so critical “to create larger, more diverse population cohorts and make sure that they are accessible to the broader research population.” 3. Why we are using a pipeline through platform approach: insitro is building a pipeline through platform and is taking inspiration from life sciences pioneers like Regeneron. Our ML analysis models are generating and prioritizing therapeutic hypotheses, which provide the foundation for a discovery engine that will build value again and again. Daphne talked about her excitement for building a platform “that allows us to generate new therapeutic hypotheses and turn them into medicines.” A big thank you to Jeff and Regeneron for inviting us to be part of the launch of The Nucleus.?We're energized by discussions like these with fellow innovators who push the boundaries of science and technology to develop transformative new treatments for patients – and look forward to tuning in to future episodes. For a deeper dive, listen to the full episode of The Nucleus here:?https://lnkd.in/etun97D7
Welcome to The Nucleus, our first audio blog exploring the science that inspires and intrigues us. First up, tune in to hear our host Jeffrey Reid, PhD, VP, Chief Data Officer, Regeneron Genetics Center (RGC) in conversation with Daphne Koller, PhD, Founder and CEO of insitro, examining how AI and ML are being applied to tackle some of the most pressing challenges in the biotech industry, from accelerating drug discovery to unlocking personalized therapeutics.? Listen to the full audio blog here: https://bit.ly/4g0jiAt Stay tuned for future episodes of #TheNucleus, with rotating hosts from Regeneron.
Listen to the full episode.
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Excited to see our first intern cohort diving right in! ??
I recently had the privilege of joining insitro's incredible 2024 intern class as we swapped algorithms for aprons during an unforgettable evening of ramen-making at "The Story of Ramen" in San Francisco. These talented interns from top universities including the University of California, Berkeley, Massachusetts Institute of Technology, Brown University, Harvard University, Stanford University, Carnegie Mellon University, The Johns Hopkins University, New York University, and Columbia University have been pouring their hearts into our mission to transform drug discovery through ML and data. Watching them dive into ramen-making with the same enthusiasm they bring to our labs was truly inspiring. Together, we discovered that creating the perfect ramen is a lot like our work at insitro: 1. It demands precision (90 seconds can make or break your noodles!). 2. The right mix of ingredients (or in our case, ideas) is crucial. 3. Success hinges on teamwork and open communication. As we kneaded, rolled, and laughed together, I was struck by how this diverse group of young talents embodies the collaborative spirit that drives our innovations. Their unique perspectives and shared passion, whether tackling complex scientific challenges or curating culinary creations, never cease to amaze me. To our incredible 27 interns: your enthusiasm is contagious, your dedication humbling. You're not just shaping the future of drug discovery – you're reminding us more seasoned folks why we fell in love with this field in the first place. A heartfelt thanks to "The Story of Ramen" for this delicious adventure, and to my colleagues at insitro for nurturing a culture where breakthroughs and bonding go hand in hand. Jianhui Gao, Pranav Mahableshwarkar, Marian Q., Anjani Sharma, Juliann Jugan, Tara Pande, Zhe F., Rahul Narayanan, Parker Grosjean, Benjamin Kleyner, Aarushi Mehrotra, Caitlin Kunchur
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Welcome to insitro’s new Chief Technical Operations Officer, Jennitte Stevens. Jennitte brings an impressive track record in therapeutic discovery, design and development at Amgen. Jennitte will spearhead how insitro continues to build a unique research and preclinical engine that incorporates both experimental and computational technologies to generate a pipeline of differentiated therapeutics. For close to two decades, Jennitte was closely involved in advancing a range of Amgen’s novel technologies and modalities, including biologics, synthetics, cell therapies and oligonucleotides. In total, she supported 100+ therapeutic programs, including 30+ IND submissions and 10 BLAs. She has more than 40+ publications and multiple patents to her name and was recognized for the development and use of cutting-edge technologies to improve efficiency and shorten timelines. Her expertise will play a pivotal role as our lead programs approach the clinic. With Jennitte’s laser focus on efficiency, superb leadership and a passion for patients, we couldn’t be more excited to have her on board. Join us in welcoming Jennitte in the comments below!