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Key PlayersIllumina, Google DeepVariant, Oxford Nanopore

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Biohub Secures $1.8 Billion for AI Biology Data to Build Universal Virtual Cell

Zuckerberg-backed Biohub announced a $1.8 billion collaboration with Google DeepMind, Meta, the U.S. Department of Energy, and the National Institutes of Health to generate AI-ready biological data. The Virtual Biology Initiative aims to build predictive AI models of biology that could compress drug development timelines from years to months by enabling scientists to digitally simulate biological systems.

Science11 sources

Biohub Secures $1.8 Billion for AI Biology Data to Build Universal Virtual Cell

Science11 sources

AI-MARRVEL and Genomics Uncover BRSK1 Gene Behind Rare Neurodevelopmental Disorder in 10 Patients

Researchers at Baylor College of Medicine used AI-MARRVEL to identify BRSK1 gene variants as the cause of a previously undiagnosed neurodevelopmental disorder affecting 10 individuals. The condition features developmental delays, autism spectrum disorder, intellectual disability, and seizures with variable severity even within families.

Health2 sources

AI-MARRVEL and Genomics Uncover BRSK1 Gene Behind Rare Neurodevelopmental Disorder in 10 Patients

Health2 sources

Anthropic's AI Scientific Discovery Claim Triggers Scientific Controversy Over What Counts

Anthropic announced its AI model Claude identified a novel enzyme system in jumbo phages within 21 hours using 950 agents. Scientists debate whether this constitutes genuine AI scientific discovery or merely accelerated data analysis, with one computational biologist claiming his team studied the same system years earlier.

Science7 sources

Anthropic's AI Scientific Discovery Claim Triggers Scientific Controversy Over What Counts

Science7 sources

AI Agents Transform Drug Discovery: 37,000 Virtual Scientists Identify Cancer Treatments

Stanford researchers deployed 37,000 AI agents organized as a Virtual Biotech company to accelerate drug discovery. The AI co-scientists autonomously analyzed over 55,000 clinical trials and identified a promising lung cancer treatment targeting CD276 protein. Google's Co-Scientist system proposed novel cancer-fighting strategies by analyzing 700+ papers, demonstrating AI's role in scientific breakthrough.

Technology3 sources

AI Agents Transform Drug Discovery: 37,000 Virtual Scientists Identify Cancer Treatments

Technology3 sources

Stanford's AI models unlock cross-species cell biology insights from 112 million cells

Stanford Medicine researchers developed TranscriptFormer, an AI model trained on 112 million cells from 12 species that maps gene expression patterns across organisms. The model can identify cell types in new species, distinguish healthy from diseased cells, and may eventually guide designing new cell-based treatments for complex diseases.

Science3 sources

Stanford's AI models unlock cross-species cell biology insights from 112 million cells

Science3 sources

Evvy Raises $40M to Transform Women's Health Research with Vaginal Microbiome Data

Women's health startup Evvy secured $40 million in Series B funding led by Catalio Capital Management to expand its AI-powered vaginal microbiome testing platform. The company serves over 100,000 patients and is now entering fertility research, aiming to address the critical data gap in precision medicine for women.

Startups2 sources

Evvy Raises $40M to Transform Women's Health Research with Vaginal Microbiome Data

Startups2 sources

Tempus AI launches 100,000 whole-genome dataset for AI-driven healthcare research

Tempus AI announced plans to build a research platform containing 100,000 whole genomes linked to longitudinal clinical information. This will be the first de-identified multimodal whole-genome sequencing dataset built around disease populations and patient outcomes, optimized for AI-driven research. The company plans to expand to one million genomes after completing the initial dataset.

Health3 sources

Tempus AI launches 100,000 whole-genome dataset for AI-driven healthcare research

Health3 sources

AI Model Decodes Cell Signaling Fingerprints Across Diverse Cell Types in Embryonic Development

Whitehead Institute researchers developed IRIS, a machine learning model that identifies unique signaling pathway fingerprints in embryonic cells. The AI model can reconstruct signaling histories across multiple cell types, potentially transforming stem cell engineering and regenerative medicine by mapping developmental signals at an unprecedented scale.

Science2 sources

AI Model Decodes Cell Signaling Fingerprints Across Diverse Cell Types in Embryonic Development

Science2 sources

Google DeepMind Maps All 9 Billion Possible Human Gene Mutations in New AlphaGenome Atlas

Google DeepMind unveiled the AlphaGenome Atlas, an AI-generated atlas of the human genome with predictions for all 9 billion possible single DNA letter mutations. The 1-petabyte database includes the AlphaGenome Variant Impact (AVI) score to help researchers identify disease-causing mutations and decode non-coding DNA's regulatory functions.

Science13 sources

Google DeepMind Maps All 9 Billion Possible Human Gene Mutations in New AlphaGenome Atlas

Science13 sources

AI Could Cure Cancer Within Our Lifetimes, But Chip Shortage Slows Progress, Says Arm Holdings CEO

Arm Holdings CEO Rene Haas claims AI will help find cure for cancer by solving complex biological modeling problems humans cannot. But semiconductor shortages are limiting AI data centers needed for medical breakthroughs, creating a supply-constrained environment that threatens to delay AI-driven drug discovery advances.

Technology4 sources

AI Could Cure Cancer Within Our Lifetimes, But Chip Shortage Slows Progress, Says Arm Holdings CEO

Technology4 sources

Seattle Researchers Launch $95M AI BioDesign Initiative to Design Biology Beyond Nature

Three Seattle institutions—Allen Institute, University of Washington, and Fred Hutch Cancer Center—launched AI BioDesign, a $95 million open science initiative. Led by Nobel laureate David Baker and genome scientist Jay Shendure, the project uses AI models to design proteins and genes not found in nature, sharing results freely to accelerate biological discovery for new medicines and materials.

Science2 sources

Seattle Researchers Launch $95M AI BioDesign Initiative to Design Biology Beyond Nature

Science2 sources

Tempus AI Draws Mixed Analyst Views as Cantor Fitzgerald Sets $80 Target on Platform Potential

Tempus AI Inc (NASDAQ:TEM) received contrasting analyst ratings this week, with Cantor Fitzgerald initiating coverage at Overweight with an $80 price target while Rothschild Redburn took a more cautious Neutral stance at $67. The divergence centers on whether the AI-driven precision medicine company's data business deserves platform-level valuation or remains a vendor play.

Business6 sources

Tempus AI Draws Mixed Analyst Views as Cantor Fitzgerald Sets $80 Target on Platform Potential

Business6 sources

Astromech Raises $20M to Build Biological Operating System That Forecasts Evolutionary Change

Astromech, an AI startup co-founded by Ben Lamm and geneticist George Church, has raised $20 million at a $3.8 billion valuation to develop a predictive model of biology. The company uses 3.8 billion years of evolutionary history combined with genomic data to forecast how living systems will change over time, identify vulnerabilities, and anticipate drug resistance and disease progression.

Startups2 sources

Astromech Raises $20M to Build Biological Operating System That Forecasts Evolutionary Change

Startups2 sources

AI-Powered Tissue Clocks Reveal How Each Human Organ Ages Differently, Detectable via Blood Tests

Researchers developed deep learning tissue clocks that predict biological age from histological images of 40 tissue types. The AI models achieved 4.88-year accuracy analyzing 25,713 samples and can detect organ-specific aging patterns from blood samples, linking accelerated aging to chronic diseases.

Science3 sources

AI-Powered Tissue Clocks Reveal How Each Human Organ Ages Differently, Detectable via Blood Tests

Science3 sources

AI and genetics slash osteoarthritis drug search from 500,000 candidates to 6 in weeks

University of Utah Health researchers combined genetics and AI-based molecular biology to identify M04, a promising new drug for osteoarthritis. The compound reduced inflammation-related genes and promoted joint cell health in lab tests. While M04 hasn't been tested in living organisms, it offers hope for treating OA at its source rather than just managing symptoms.

Health2 sources

AI and genetics slash osteoarthritis drug search from 500,000 candidates to 6 in weeks

Health2 sources

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