Building the Next AlphaFold for Drug Discovery @IsomorphicLabs closed a $2.1 billion Series B to commercialize AlphaFold — but Charlotte Deane's argument in this clip is that the next equivalent breakthrough is still waiting on the data infrastructure to make it possible. Deane makes a point that tends to get lost in the excitement around model capabilities: AlphaFold succeeded in large part because the Protein Data Bank existed, an accumulated fifty years of experimental results that gave AI something substantive to learn from. Her @openBIND consortium is an attempt to replicate that condition deliberately — building the dataset for protein-ligand binding with AI requirements built in from the start, not discovered after the fact. The $2.1 billion now flowing into AI drug discovery, as reported by @BuildFastWithAI, will accelerate what is already possible with existing data, but Deane's work is about removing the ceiling on what comes next. For institutional decision-makers evaluating where durable value is being created in this space, the more consequential investment question may not be which model is best today, but who is building the data infrastructure that determines what models can do in five years. We've put a link to the full episode with Charlotte Deane and our hosts @stephenjhorn and @Laila_Rizvi in the first comment. #BiomedicalDataScience #AIMedicine #ComputationalBiology #AlphaFold #AIDrugDiscovery

Researchers Endorse a Framework to Govern Biological Data in the Age of AI "Biological models enable researchers to accurately design new molecules, predict protein structure, understand the effects of genetic mutations, and design and carry out complex life-science experiments, among many other tasks. These models are likely to provide exciting advances in the years ahead, improving our ability to understand the natural world, develop vaccines and therapies, and increase agricultural yields. However, as AI systems acquire new biological capabilities they may also be used for unintended and dangerous ends.... Fortunately, governments can reduce the biosecurity risk posed by AI models by improving on a longstanding policy from the domain of privacy protection: data-access rules." Read "Biological data governance in an age of AI" in @ScienceMagazine by @DoniBloomfield, James R. M. Black, @OllyMCrook, @BrandesNadav, @Moritz_Hanke, @T_Inglesby, Anita Cicero, Robert Pollack, @tmboussard, Michael J. Imperiale, @Rbaltman, and Jaspreet Pannu. And if you want to know more about how AI is reshaping molecular biology, watch our interview with Nobel Prize winner John Jumper via the link in our first comment. science.org/eprint/X8AM7SI99… #MolecularBiology #AISecurity #Biosecurity #AIMedicine #BiomedicalDataScience

Are you worried about AI's big biosecurity blind spot? "Researchers from @JohnsHopkins, @UniofOxford, @Stanford, @Columbia, and @nyuniversity are calling for guardrails on certain infectious disease datasets that could enable AI to design deadly viruses. Why it matters: Once high-risk biological data hits the open web, it can't be recalled — and regulation won't matter if the knowledge itself is already widely distributed. Driving the news: An international group of more than 100 researchers has endorsed a framework to govern certain biological data the same way we handle sensitive health records." Get smarter about this developing issue via @meganmorrone on @axios, and then, if you need someplace to vent, pro or con, come on back here and comment: axios.com/2026/02/17/ai-data… #AISecurity #Biosecurity #AIMedicine #BiomedicalDataScience #InfectiousDiseaseDatasets

Our hosts @stephenjhorn and @Laila_Rizvi interviewed Professor Charlotte Deane, MBE, one of the UK’s leading computational biologists and a co-lead of OpenBind, during ISMB/ECCB in Liverpool, the world’s leading computational biology conference. Watch to find out how AI is changing the way we do biology and drug discovery: youtu.be/Fmp9-E8cPWk #BiomedicalDataScience #AIMedicine #ComputationalBiology

"A new artificial intelligence model developed by Stanford Medicine researchers and their colleagues can use physiological recordings from one night’s sleep to predict a person’s risk of developing more than 100 health conditions. Known as SleepFM, the model was trained on nearly 600,000 hours of sleep data collected from 65,000 participants. The sleep data comes from polysomnography, a comprehensive sleep assessment that uses various sensors to record brain activity, heart activity, respiratory signals, leg movements, eye movements and more... “From an AI perspective, sleep is relatively understudied. There’s a lot of other AI work that’s looking at pathology or cardiology, but relatively little looking at sleep, despite sleep being such an important part of life,” said @Stanford's @james_y_zou, PhD, associate professor of biomedical data science and co-senior author of the study." Read more about the study in this @StanfordMed article by Nina Bai: med.stanford.edu/news/all-ne… #Polysomnography #SleepAssessment #ArtificialIntelligence #AIModel #BiomedicalDataScience

#BiomedicalDataScience #Python #Bioinformatics #MachineLearning #DeepLearning #DataScience #Genomics #RNASeq #AIinBiology #OmicsLogic

𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 🐍🧬 🔗 𝗦𝗲𝗰𝘂𝗿𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 𝘁𝗼𝗱𝗮𝘆: forms.gle/Bz6HndM8pXyZvBvs9 #BiomedicalDataScience #Python #Bioinformatics

Tired of standard ECG data? We dove deep into open-access biomedical datasets from PhysioNet and found some surprising use cases, from sleep research to neurotech. 👇 youtu.be/QgAIkfO0s94 #BiomedicalDataScience #AI #PhysioNet #Neuroscience #OpenData

📈 Gain in-demand skills that open doors to higher-paying roles in the industry. 🎓 Join the Biomedical Data Science Certification Course – covering everything from fundamentals to advanced tools. 👉 Secure your spot today: btnk.org/biomedical-certific… #BiomedicalDataScience

🚀 Boost Your Biotech Career with Biomedical Data Science! 🎓 Enroll in the Biomedical Data Science Certification Course – from fundamentals to advanced industry tools. 👉 Register now: btnk.org/biomedical-certific… #BiomedicalDataScience #BiotechCareers #HighPayingJobs #BiotechIndi

💰 Here’s your chance to build skills that can help you earn 2x higher salaries than traditional roles! 🎓 Enrol in the Biomedical Data Science Certification Course – From Basics to Advanced Tools today. 👉 Register now: btnk.org/biomedical-certific… #biomedicaldatascience

I’m currently seeking mentorship, learning opportunities, and meaningful connections in the bioinformatics and health data space. Let’s connect if you’re in this field or open to sharing insights! #Bioinformatics #ClinicalAnalyst #Genomics #BiomedicalDataScience #PublicHealth

BIOMICS Biomedical Data Science Seminar 🎙 @pedrobeltrao (@ETH_en) “The genetics of human trait variation across the scales of biological organization” 🗓 17 July | 12:00 (Lisbon) 📍 GIMM Lisboa, Egas Moniz Building – Aud. 58 (-1) 💻 Zoom ⬇︎ #BIOMICS #BiomedicalDataScience

Check out my new video on building AI tools and EEG visualizers in real time! Learn how I coded, debugged, and barely held the JavaScript together: youtu.be/qiX2QJdmVAc #AI #EEG #BiomedicalDataScience #JavaScript #DataViz

Check out my new video on building an EEG app using AI models! 🚀 Learn how I debugged real-time brainwave visualizations with Copilot, GPT-4o, Gemini, and more: youtu.be/s4E1H4Xp3rQ #AI #EEG #Neurotech #WebDev #GitHubCopilot #GPT3 #BiomedicalDataScience

Check out my new video on fixing a completely broken 3D ear model! Learn how I debug mislabeled textures, decode mesh structure, and battle rendering chaos with Claude 3.7: youtu.be/RfOI9Bushcs #BiomedicalDataScience #3DModeling #ThreeJS #WebGL #ClaudeAI

Don't miss our hands-on Quantum Machine Learning tutorial at #ISMB2025! 🚀 For those in #Bioinformatics, #Genomics, and #BiomedicalDataScience, discover the power of #quantumcomputing in therapeutic discovery. Proud collaboration between @IBMResearch & @ClevelandClinic!

#Bioinformatics #DataScience #NGS #MultiOmics #Genomics #Transcriptomics #Metagenomics #Python #R #BiomedicalDataScience #MachineLearning #Programming #Coding #Research #PhD #Biomedical

🎉 Thank you for making 2024 a remarkable year. Here’s to an even brighter 2025, filled with learning, discovery, and success! #Bioinformatics #DataScience #BiomedicalDataScience #OMICS #Genomics #Transcriptomics #Metagenomics #R #Python #Linux #Research #Success

#StanfordBiosciences is comprised of 14 home programs. In our #HomeProgramSeries we will be taking a peek at the different departments. Swipe ➡️ to learn about our #BiomedicalDataScience program and faculty. For a #DeepDive scan the QR code to visit their website #PhD #PhDJourney