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Using technology to improve medicine. On a mission to empower scientists, physicians and…
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Amit U Sinha reposted thisAmit U Sinha reposted this!! Closed!! 🌱 We’re Hiring: Bioinformatician Interns! 🌱 At Basepair, we’re building innovative solutions at the intersection of genomics, data, and technology. Our mission is to simplify bioinformatics and empower researchers with tools that make a real impact in life sciences. 🚀 We’re looking for passionate Bioinformatician Interns to join our team and grow with us! 📍 Location: Noida, Sector 62 (Work from Office) 💰 Stipend: ₹25,000/month 🧑💻 Role: Bioinformatician Intern ✨ Why join Basepair? ✅ Work on real-world genomics & informatics projects ✅ Guidance & mentorship from industry experts ✅ A collaborative, supportive, and innovation-driven culture ✅ Opportunity to kickstart your career in bioinformatics We’re looking for freshers and final-year students who are eager to learn, solve problems, and contribute meaningfully. 📩 Drop in your resume at: https://lnkd.in/gjS-RyhW 👉 Apply now or tag someone who’d be perfect for this opportunity! hashtag #Basepair #Hiring #Bioinformatics #Internship #NoidaJobs #LifeSciences #CareerKickstart
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Amit U Sinha shared thisWe had a chance to attend the Amazon Web Services (AWS) Life Sciences Symposium last week. While there's tremendous interest across pharma, biotech, startups, and research orgs in using AI, adoption continues to lag other industries. A few of the challenges that bubbled up: Chat interface: it’s great if you want to find the best ramen in midtown, but not so much for more complex, nuanced questions. We need to completely reimagine human-computer interface for AI. Black box: it’s not enough to give an input and get an output back. The explainability and understanding of the underlying processes are a must. Repeatability: while some randomness is built-in, getting a different result for the same query is a non-starter. Predictability, consistency and reproducibility remain critical. People: this field brings together such a diverse set of talent - biologists, physicians, chemists, data scientists and more. It becomes imperative to understand each person’s point of view, which may be altogether in a different dimension from the next. This is the human-human interface that needs to be developed, because technology is rarely the bottleneck. If you are working on these challenges with adoption of AI in your org, we would love to speak with you.
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Amit U Sinha shared thisLooking forward to catching up on the latest AI x Life Sciences and sharing what we have been working on.Amit U Sinha shared this𝗟𝗶𝗳𝗲 𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝘀 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲—𝘄𝗵𝗲𝗿𝗲 𝗕𝗼𝗹𝗱 𝗩𝗶𝘀𝗶𝗼𝗻 𝗠𝗲𝗲𝘁𝘀 𝗕𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗠𝗲𝗲𝘁 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱'𝘀 𝗹𝗲𝗮𝗱𝗶𝗻𝗴 𝗹𝗶𝗳𝗲 𝘀𝗰𝗶𝗲𝗻𝗰𝗲𝘀 𝘀𝘁𝗮𝗿𝘁𝘂𝗽 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻—📍𝗟𝗲𝘃𝗲𝗹 𝟰, 𝗣𝗮𝘃𝗶𝗹𝗶𝗼𝗻 at the AWS Life Sciences Symposium on April 14. ✨𝗦𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁𝗶𝗻𝗴 𝗟𝗶𝗳𝗲 𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝘀 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗼𝗿𝘀—from frontier AI model builders reimagining drug discovery, to tech-bios bridging scientific superintelligence and science factories, and biotechs accelerating R&D through clinical to commercial. These aren't just use cases; they're moonshots becoming reality. 🚀 As an intrapreneur, I've learned that the greatest privilege in technology isn't building systems—𝗶𝘁’𝘀 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝗹𝗼𝗻𝗴𝘀𝗶𝗱𝗲 𝘄𝗼𝗿𝗹𝗱-𝗰𝗹𝗮𝘀𝘀 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲'𝘀 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀. Their relentless pursuit to compress decades of drug development 💊 into years gives patients hope where there was none—that's what extraordinary looks like. Don't miss this opportunity to meet the visionary founders—Boltz Lila Sciences Chai Discovery Manas AI QuantHealth Courier Health Latent Labs PictorLabs Inc Converge Bio PhaseV Manifold OWKIN A-Alpha Bio Orakl Oncology NOETIK Florence Healthcare Ginkgo Bioworks Apheris Rhino Federated Computing roclub Click Therapeutics, Inc. Abridge Bioptimus @ibex @quiltdata Lirio Synthesize Bio Vivodyne Twist Bioscience Semalytix Prudentia Sciences #GenAI #LifeSciences #Healthcare AWS Startups Dan Sheeran (he/him) Jason Bennett Andy Perkins Jim Davis Amrita Sarkar, Ph.D., MBA Chloé Fabi Gareth Sessel, MD, MS (EE) Daniel Rabina Eric Zimmerman
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Amit U Sinha shared thisAgentic AI is completely redefining how software works. Not just adding a chatbot, not just an incremental change, but a complete rethink. We had the chance to present how we are rebuilding Basepair around a multi-agent model. For years, we helped wet lab scientists analyze their genomics data by turning complex code into a simple point-and-click UI. Our missions remains the same. Instead of adding more confusing buttons, we are giving every scientist an active AI team. We are building agents that let scientists get back to the actual science. A huge thanks to our partners for their incredible support and to everyone who attended the presentation. Exciting times ahead! Amazon Web Services (AWS) | Charlie Lee, PhD | Mahidol University | Thidathip Wongsurawat | piroon jenjaroenpun | NalaGenetics | Levana Sani #AI #AgenticAI #Genomics #SaaS #Bioinformatics #Basepair
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Amit U Sinha shared thisPublic communication of science is a criminally underrated skill, and no one does it better than Ani Deshpande. Every time I get stuck on a complex topic, Ani is always my go-to person for breaking it down in a way that actually clicks. Check out this fascinating story of how French lilacs led to the development of metformin - and subscribe to his podcast.Amit U Sinha shared thisDo you find medicines from plants fascinating? Plants - unlike animals - cannot run, hide, or fight off predators with sharp claws or strong jaws. When you can’t completely rely on physics - on speed, strength, force - you turn to kick*ss chemistry. And so over millions of years, plants have turned into crafty chemists, evolving a bewildering arsenal of poisons carved by Darwin’s chisel in a relentless chemical war with the world around them. Remarkably, we humans learned not only how to (mostly) survive these toxins, but even savor them - cloves! coffee! cannabis! - and ultimately turn them into life-saving medicines. In this episode, we recount the stories of a French military doctor obsessed with the extract of the French Lilac and a German physician experimenting with apple tree bark, and how these plant poisons completely transformed diabetes treatment. Today, modern drugs born from these plant defenses are taken by more nearly 200 million people - more than the combined populations of France and Germany. #metformin #SGLT2inhibitors Now scientists are asking whether these medicines might slow aging itself. Join us for in Episode 6 of the Discovery Dialogues Podcast as Pamela Itkin-Ansari and I talk to leading diabetes researchers. And yes we are on Spotify and Itunes. Please repost to your networks if you find this Podcast interesting. Youtube: https://lnkd.in/grQ_GgD8 Spotify: https://lnkd.in/gpKsB5sa Apple Podcasts: https://lnkd.in/gkkakxTN #diabetes #metformin #NirBarzilai #DavidNathan #SGLT2 #bloodsugar #prediabetes #aging #longevity #JeanSterne #JosephVonMering
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Amit U Sinha shared thisIt's incredible of Amazon Web Services (AWS) to feature Basepair Inc and Simon Valentine in their global partner summit. More than a technology leader, AWS has had an unparalleled approach built on people, partners and ecosystem.Amit U Sinha shared thisWe are honored to be featured at the Amazon Web Services (AWS) Global #StartupPartnerSummit2025, where our CCO, Simon Valentine, shared how Basepair is working alongside AWS to support genomics teams by bringing cloud infrastructure and lab-centric workflows together. This partnership goes beyond cloud; it’s about enabling faster and more accessible science for labs around the world. Watch the full video here: https://lnkd.in/gTTqQBhn #Basepair #Genomics #RNASeq #Bioinformatics #LabTech #ResearchInnovation #NGS #GenomicsWorkflow #ClinicalGenomics #DataAnalysis #LifeSciences #AWS #AmazonWebServices
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Amit U Sinha shared thisIs personalized cancer care really personalized if we used canned kits and canned analyses optimized in limited markets? We had an instructive discussion with Jason Yongsheng Chan, MBBS-PhD at National Cancer Centre Singapore on how cancer prevalence in Asian population is much different than western countries. We need customized assays, analysis and insights. Thanks to co11ab Novena and Nanyang Technological University Singapore for hosting us.
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Amit U Sinha shared thisWe're excited to be featured in the World Health Expo's article on how Basepair Inc's SaaS platform empowers pharmaceutical and diagnostic teams to conduct scalable and secure bioinformatics analyses on Amazon Web Services (AWS). Our user-friendly interface and robust API support are helping to accelerate insights, cut cloud costs, and ensure compliance for our partners. We are excited to work with AWS in transforming healthcare in the Middle East! #Basepair #AWS #HealthcareTransformation #MiddleEast #Genomics #SaaSAmit U Sinha shared thisNavigating a complex regulatory and legislative landscape to ensure data security can be a challenge, particularly in highly regulated industries such as healthcare. We had a chat with Myriam Fernández Martín, PhD, MSN, RN to learn more about Amazon Web Services (AWS)'s approach: https://lnkd.in/dTGgi6bM WHX Tech kicks off on September 8 at Dubai World Trade Centre. See you there! #WHXTech25 #datasecurity #healthcaretransformation #AWS #WorldHealthExpoAmazon healthcare transformation in MENA | WHX InsightsAmazon healthcare transformation in MENA | WHX Insights
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Amit U Sinha shared thisMaking women's health research understandable and accessible should be the focus for more scientists! Sharing this because it's a total must-read. Connecting the dots between conditions like endometriosis and PCOS with the immune system is intriguing. We need more microbiomics data for sure!! Check out the original post and the article from Lorna Neilson to see what I mean! So excited to see this conversation happening. #WomensHealth #Science #Genomics #HealthLiteracyAmit U Sinha shared this𝗔𝗿𝗲 𝘆𝗼𝘂 𝘁𝗶𝗿𝗲𝗱 𝗼𝗳 𝘄𝗼𝗺𝗲𝗻'𝘀 𝗵𝗲𝗮𝗹𝘁𝗵 𝗯𝗲𝗶𝗻𝗴 𝗮𝗻 𝗮𝗳𝘁𝗲𝗿𝘁𝗵𝗼𝘂𝗴𝗵𝘁? 𝗦𝗼 𝗮𝗺 𝗜. For too long, women's health issues have been relegated to the sidelines, our symptoms minimized, our conditions poorly understood, and research into our unique biology under-resourced and under-funded. As a scientist – and as a woman – I've seen firsthand how these gaps leave women feeling like medical mysteries, struggling with persistent symptoms while desperately seeking answers. Too many women suffer in silence, unable to get relief, because the science hasn’t caught up with their lived experience. That's why I launched 𝘓𝘢𝘣 𝘰𝘧 𝘏𝘦𝘳 𝘓𝘪𝘧𝘦, where I break down the science of women's health in a way that's understandable for all, scientists and non-scientists alike. We explore scientific concepts, dive into the latest research, and highlight emerging innovations that are helping to close the gaps. When we understand the science ourselves, we can better advocate for our health, ask the right questions, and demand the care we deserve. Check out my latest Substack post: "Could Endometriosis and PCOS Be Autoimmune Diseases?" – part 3 of my 4-part series on the science of autoimmunity and women's health. Click the link to get the full story!Could Endometriosis and PCOS Be Autoimmune Diseases?Could Endometriosis and PCOS Be Autoimmune Diseases?
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Amit U Sinha liked thisAmit U Sinha liked thisI've spent more than a decade building AI products in media and retail. The work has always involved uncovering hidden connections in data, modeling, and improving models in loops. For the past year, I've been heads-down applying the same skills and building in the domain I care about immensely: learning and the process of it. Most learning platforms can tell you a student got a question wrong. Almost none can tell you why. Did they misread the problem? Apply the right concept with a broken procedure? Run out of time? Those are three different students who need three different interventions, and today's tools treat them identically. That "why" is a hidden-connection problem, which is to say, it's my kind of problem. I chose SAT math as the starting point deliberately. Roughly 2 million students take the SAT each year. It is the stress test for mathematical readiness for college. If we can model the learning process and bring improvements to student scores, we'll have built something that generalizes far beyond one test. At the same time, it is a demanding application of AI because the signal is sparse, the stakes are high, and the ground truth lives inside the student’s head. That's what I am building at mathnova.io : a personalized SAT prep platform. Our early cohorts of beta testers helped us refine the user experience, and we saw completion rates and session frequency climb steadily, accompanied by heartwarming testimonials. We've now opened the platform to new signups. If you're working on personalized learning, as a builder or an educator, or you're a parent who's watched a smart kid stall at a score that won't budge, for reasons no report card can explain, I'd love to connect.Mathnova — Find the SAT Math gaps costing your scoreMathnova — Find the SAT Math gaps costing your score
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Amit U Sinha liked thisAmit U Sinha liked thisA month into my internship at Basepair - here's what's actually changed in how I think about engineering, beyond the specific things I built: 🧩 Systems fail in layers, not all at once. What looks like one problem is often several, and each one only becomes visible after you fix the one hiding it. 🔍 Evidence beats assumption, every time. The habit that's stuck with me most is refusing to "fix" something until I can actually prove what's broken - with logs, not guesses. ⚙️ Test automation is a discipline, not a checkbox. Writing tests that reflect how the system actually gets used matters more than writing a lot of them. 🧩 Production is a different beast than a tutorial. Distributed systems, orchestration, and real infrastructure surface failure modes you just don't encounter in a classroom. 💬 Communication matters as much as code. Half of debugging well is asking the right people the right questions early, instead of guessing alone for hours. Grateful for a team that let's me learn all of this on real systems, not toy problems. #Internship #SoftwareEngineering #Learning #Debugging #Testing
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Amit U Sinha liked thisAmit U Sinha liked thisWhat happens when professionals who live and breathe artificial intelligence sit down in a room with no rigid script, no strict agenda, and a genuine curiosity about what it actually takes to build at scale? You completely lose track of time. Recently, I had the privilege of sitting down for a conversation that was originally planned for a standard hour. We found ourselves diving so deep into the realities of actual AI implementation that by the time we looked at the clock, hours had flown by. It felt less like a formal discussion and more like an immersive session where the real, nuanced insights of technological change come to light. While there is no shortage of high-level discussion around AI strategy today, very few individuals are actually navigating the complex, day-to-day realities of making AI function effectively at a massive enterprise scale. That is precisely why we wanted to speak with Shailesh Kumar. As the Chief Data Scientist, CoE AI/ML at Jio, he is at the forefront of this evolution, actively designing the architecture that makes large-scale transformation possible. Instead of focusing purely on high-level definitions, we focused on how leaders approach these challenges. We discussed why certain technical decisions succeed, how data systems evolve over time, and what it truly takes to ship reliable engineering systems in the enterprise world. This engaging and deeply insightful conversation became the foundation for the very first episode of a new initiative called "Rooted with Us". Hosted by Sai Sharan Tangeda 🌏 and myself, this is a dedicated space where we sit down with the builders of enterprise AI, fintech, and data systems to explore the genuine decision-making processes behind technological adoption. The full episode will be live soon. Stay tuned, and join us on this journey as we explore how things are truly built behind the scenes. #RootedWithUs #EnterpriseAI #AITransformation #TechLeadership #Jio #Reliance #JioInstitute #DataSystems #AIImplementation
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Amit U Sinha reacted on thisAmit U Sinha reacted on this#AlumniSpotlightSeries | Celebrating Extraordinary Alumni, Inspiring Future Leaders At Birla Institute of Management Technology (BIMTECH), we are immensely proud to celebrate the remarkable achievements of our alumni who continue to redefine excellence, inspire innovation, and make a lasting impact across industries. In this edition of our #AlumniSpotlightSeries, we are honoured to feature Mr. ABHINAV PRIYA, PGDIRM – Insurance (Batch 2004–05), who is currently serving as Senior Vice President – Large Corporate Business, Policybazaar for Business. With an exceptional professional journey spanning over two decades, Mr. Abhinav has consistently demonstrated strategic vision, unwavering commitment, and exemplary leadership. His rise to a senior leadership position is a testament to his dedication, resilience, and pursuit of excellence. His accomplishments not only bring immense pride to the BIMTECH family but also serve as a powerful inspiration for our students and fellow alumni, reminding us that determination, continuous learning, and purposeful leadership create enduring success. We extend our heartfelt congratulations to Mr. Abhinav Priya on this outstanding professional milestone and wish him continued success as he reaches even greater heights in his inspiring journey. Here's to celebrating leaders who embody the spirit of BIMTECH and continue to create meaningful impact in the corporate world. AACSB | National Board of Accreditation | National Assessment and Accreditation Council (NAAC) | All India Council for Technical Education (AICTE) | PRABINA RAJIB | pankaj priya | Dr. Pooja Misra | Pratik Priyadarshi | Dr Navin Shrivastava | Tarun Khandelwal | Manoj Kumar Pandey | NIDHI LAKHANPAL #BIMTECH #BIMTECHAlumni #AlumniSpotlightSeries #Leadership #Excellence #ProfessionalSuccess #CorporateLeadership #PolicybazaarForBusiness #InsuranceIndustry #ProudAlumni #InspiringJourneys #LeadershipExcellence
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Mutations in epigenetic regulators including SETD2 are gained during relapse in paediatric acute lymphoblastic leukaemia.
Nature communications
Relapsed paediatric acute lymphoblastic leukaemia (ALL) has high rates of treatment failure.
Epigenetic regulators have been proposed as modulators of chemoresistance, here, we sequence genes encoding epigenetic regulators in matched diagnosis–remission–relapse ALL
samples. We find significant enrichment of mutations in epigenetic regulators at relapse with
recurrent somatic mutations in SETD2, CREBBP, MSH6, KDM6A and MLL2, mutations in…Relapsed paediatric acute lymphoblastic leukaemia (ALL) has high rates of treatment failure.
Epigenetic regulators have been proposed as modulators of chemoresistance, here, we sequence genes encoding epigenetic regulators in matched diagnosis–remission–relapse ALL
samples. We find significant enrichment of mutations in epigenetic regulators at relapse with
recurrent somatic mutations in SETD2, CREBBP, MSH6, KDM6A and MLL2, mutations in signalling factors are not enriched. Somatic alterations in SETD2, including frameshift and nonsense mutations, are present at 12% in a large de novo ALL patient cohort. We conclude that the enrichment of mutations in epigenetic regulators at relapse is consistent with a role in mediating therapy resistance.Other authors -
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MLL-Rearranged Leukemia Is Dependent on Aberrant H3K79 Methylation by DOT1L
Cancer Cell
Other authors -
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Patricio Casillas
Launching new drugs will no longer take 10-15 years. Over time this time frame will likely be halved with AI. The bottleneck will become having capacity to conduct so many human clinical trials. AI can process datasets faster than humans, enabling faster ID of promising drug candidates within weeks instead of years.
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Joe Glick
Dusty Majumdar, PhD, PredxBio Chief Executive Officer and Board Member, shares takeaways from the various panels at JPM2026 that he attended and led (my excerpt): 🔹 Understanding biology beats predicting outcomes. Across virtual cell models, foundation models, and spatial interaction frameworks, the real differentiator is emerging fast: can the model explain the underlying biology and do so reproducibly? That’s what will separate durable platforms from short-lived demos. 🚨 What breaks next: Validation is becoming the bottleneck as AI generates ideas faster than biology can test them. Black-box systems will hit regulatory and clinical ceilings, pushing the field toward explainable and auditable AI. Data asymmetry will widen as platforms with proprietary, high-quality multimodal datasets pull ahead. And as agentic AI scales, trust, governance, and failure modes - not raw performance - will determine who actually makes it to impact. My response: Biomimetic digital twins ecosystems model the real world and deliver transparent and repeatable insights based on evidence, not predictions. A new paper produced by 27 researchers from 18 universities, mostly US, was released this month: Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models (arXiv:2601.01321). I don’t know how many papers the authors reviewed, but 989 were cited, and the only example of tangible results in life science was #450 (image), a genomics research project in which I built the biomimetic digital twin ecosystem model used by the geneticists to produce the findings, and I contributed the technical content to the paper.
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