Biotech

Background: Clinical decision support systems degrade silently as treatment protocols evolve, yet standard adaptation methods treat models as monolithic blocks, unable to distinguish stable patient physiology from shifting institutional practice. Methods: We propose an adaptive clinical intelligence architecture for ICU intervention prediction that structurally decouples physiological from treatment representations, confining parameter updates to the treatment stream upon a dual distributional a

AI-native biotechnology companies are often designed by copying human biotech org charts into agent roles. We argue for a different abstraction: a Company World Model, defined as a persistent asset-to-value state representation with transition models, explicit value functions, planning, and updating across scientific, regulatory, BD, commercial, financial, and execution constraints. We introduce a dry-lab benchmark for testing whether AI-agent organizations should mimic departments or operate ar

US specialist venture firm Dimension Capital raises $800mn fund to back AI-designed medicines

IntroductionOver the decades, shifts in human lifestyle have led to alterations in dietary habits. The consumption of diets low in fiber and high in fat and sugar results in the production of carcinogenic metabolites during digestion. The food we consume undergoes a complex series of processes involving digestion and excretion, engaging various internal organs within the human body. The DNA and MiRNA present in food are crucial for sustaining human health. Damage to human organs can lead to the

Structure-based drug design (SBDD) leverages the 3D structure of protein targets, often complemented by other spatial constraints, to generate candidate binding molecules. While diffusion models have dominated as a leading paradigm for high-quality 3D molecule generation, LLM-based methods are rapidly emerging in molecular design and have shown competitive performance in pocket-conditioned molecular generation. However, their ability to reason about physics and 3D spatial environments is largely

Frontier large language models (LLMs) are increasingly integrated into scientific workflows, yet their growing biological capabilities may outpace current safeguards. To assess the biological risks of frontier models, we develop Intern-BioBreaker, a specialized bio-red-teaming model, together with an integrated computational-to-physical framework that couples model-level stress testing with wet-lab validation. Within this framework, Intern-BioBreaker generates targeted jailbreak prompts to test

Extremophiles that thrive in the most unforgiving environments aren’t just biological curiosities. Understanding their resilience has many implications for us. The post The Organisms That Make Earth’s Harshest Places Home first appeared on Quanta Magazine

History has shown that when manufacturers skimp on sterile filtration of drugs, the consequences can amount to the loss of hundreds of lives and millions of dollars.

Erin Davis calls it the “SuperDuperPOD.” That’s two things in one name: pharmaceutical giant Bristol Myers Squibb (BMS) already runs one of the largest AI clusters in life sciences, with serious results to show for it. And they’re doubling down. BMS announced today it is deploying its second NVIDIA DGX SuperPOD, this one built on […]

Bristol Myers Squibb is the third drugmaker in nine months to announce it is building the largest AI supercomputer in the life sciences industry.

Modern video transformers typically ignore principles from primate vision and are rarely evaluated against neural data, limiting their biological interpretability. We introduce a sparse winner-takes-all token selection module that replaces dense self-attention to improve efficiency and approximate competitive routing observed in biological visual circuits. We further propose a neuro-inspired split-and-fuse video transformer which uses two complementary pathways: a high-resolution, low-frame-rate

Structure-based drug design (SBDD) leverages the 3D structure of protein targets, often complemented by other spatial constraints, to generate candidate binding molecules. While diffusion models have dominated as a leading paradigm for high-quality 3D molecule generation, LLM-based methods are rapidly emerging in molecular design and have shown competitive performance in pocket-conditioned molecular generation. However, their ability to reason about physics and 3D spatial environments is largely

NTU School of Biological Sciences (SBS) explores new knowledge and discoveries in molecular biology that will have major impact on the life sciences, widely acknowledged as the next technological ...

Colossal Biosciences CEO Ben Lamm explains how ancient DNA, AI and CRISPR are helping scientists pursue de-extinction.

Frontier AI companies have published capability thresholds that differ substantially, making it difficult for third parties to verify whether a threshold has been crossed or to compare requirements across companies. Moreover, without common minimum thresholds, risk mitigation may be inconsistent, creating a potential race to the bottom in safety standards. We develop a methodology for deriving harmonized thresholds across three risk domains. For misuse risks (cyber and biological), we take expec

AlphaFold2's 93 million parameters, shaped by the evolutionary record of protein structure encoded in the Protein Data Bank and in sequence alignments, are conventionally treated only as machinery for converting sequence to structure. We propose they are also a scientific object that can be analyzed directly: a learned encoding of protein conformational organization that can be probed and characterized. By smoothing the Evoformer's weight tensors with a Gaussian convolution and scaling the resul

The biologist’s bold “energetic view of life” looks to the body’s strangest organelles as the link between cells, health, and mind and the foundation of our experience of being alive. The post Martin Picard’s Mitochondrial Theory of Mind first appeared on Quanta Magazine

arXiv:2607.14479v1 Announce Type: new Abstract: As large language models become increasingly capable, concerns about their potential to assist with biological misuse continue to grow. Prioritization of safety differs across the model ecosystem, with some models freely providing high-risk information that could be misused, and others refusing benign scientific content, potentially hindering legitimate research. Both failures stem from a lack of targeted mitigation to distinguish the most dangerou

On 15 July 2026, CDT Europe and other 5 organisations representing standardisation, consumers, digital rights, doctors, pharmacists and hospitals published an open joint letter calling EU policymakers to maintain medical devices under the scope of the AI Act. In the letter, we express our serious concerns regarding the European Commission’s proposal to exclude medical devices […] The post Open Joint Letter on the AI Act Regulating AI-embedded Medical Devices appeared first on Center for Democrac

An Integrated, Prosperous and Peaceful Africa, driven by its own citizens and representing a dynamic force in the global arena.

arXiv:2607.13039v1 Announce Type: new Abstract: Safety evaluations for dual-use biology assistants often measure base-model capability, refusal behavior, or jailbreak success. These metrics miss a deployment question: for a fixed base model, how does the access condition users actually see change benign utility and harmful actionable assistance? I introduce safeguard-conditioned uplift, a protocol for comparing deployed access conditions through a human-judged utility-risk frontier. I evaluate C

DeepMind's announcement comes days after DeepMind CEO Demis Hassabis told Axios that governments should establish a standards body for frontier AI, underscoring t ...

Clinical laboratory testing technology has advanced significantly since the Clinical Laboratory Improvement Amendments of 1988 (CLIA) regulations were implemented in 1992. This request for information (RFI) seeks input from the public regarding various topics related to the CLIA regulations, including: breath testing; laboratory processes and procedures; emergency preparedness, biosafety and biosecurity, and cybersecurity; and specialty testing areas. Responses to this RFI may be used to help in

This proposed rule addresses: changes to the physician fee schedule (PFS); other changes to Medicare Part B payment policies to ensure that payment systems are updated to reflect changes in medical practice, relative value of services, and changes in the statute; codification of establishment of new policies for: the Medicare Prescription Drug Inflation Rebate Program under the Inflation Reduction Act of 2022; the Ambulatory Specialty Model; updates to drugs and biological products paid under Pa

No name. No product. No confirmed funding. And, possibly, a $2bn price tag. That is the shape of the newest bet in AI drug discovery. Miles Wang, a researcher at OpenAI, is leaving to start his own company, TechCrunch reported. He is in talks to raise about $200m at a $2bn valuation, with Lightspeed in […] This story continues at The Next Web

Eli Lilly is reinventing the pharma business    The Economist

Scientists have harnessed artificial-intelligence models to create synthetic CRISPR proteins that edit the genome more efficiently than their naturally occurring counterparts. Such synthetic CRISPR ...

New studies point to the power of testing for and treating tau, a protein that builds up in Alzheimer’s disease, instead of just amyloid.

Nearly 200 healthcare and patient advocacy organizations endorsed the bipartisan Clinical Trial Modernization Act, which seeks to reduce financial barriers and expand access to clinical trials for underrepresented patients. The post Nearly 200 Organizations Back Bill To Expand Access To Clinical Trials appeared first on Above the Law .

Months before Kent Carpenter's planned retirement, a masked trio killed the Old Dominion professor in his home in the Philippines.

The potential for solving problems in climate, oceans, the biosphere, and the biology of disease is vast, writes Celine Herweijer. The question is what we build them for.

Automatic scientific discovery has long been a goal of computational scholars - a machine that can discover nature's secrets on its own, moving computational systems beyond data-fitting tools toward the generation and refinement of mechanistic models of the universe. Recent advances in symbolic regression (SR) and large-language-model (LLM)-based agents suggest that such systems can recover equations from data, incorporate domain priors, and automate parts of the research workflow. However, most

Recent advances in generative and embodied AI have been driven by large-scale predictive learning over multimodal data. However, the resulting systems remain largely based on passive training regimes where linguistic regularities create the scaffold onto which information from other modalities is attached. Conversely, neuroscience and cognitive science suggest that biological intelligence is organized in the opposite way, where grounded world models acquired through interaction with the environm

arXiv:2607.12200v1 Announce Type: cross Abstract: As frontier language models advance, policymakers and model developers need methods for assessing whether model access materially increases a non-expert actor's ability to plan high-consequence Chemical, Biological, Radiological, or Nuclear (CBRN) misuse relative to public tools alone. Existing CBRN evaluations differ in non-expert definitions, threat scope, baselines, scoring rubrics, and decision rules, making results difficult to compare acros

The funding discussions point to investor interest in applying AI to make breakthroughs in life sciences.

BackgroundCancer recurrence and distant metastasis are major causes of cancer-related death, yet existing biomarkers and single-omics models have limited accuracy and interpretability across tumor types.MethodsWe developed OMNIS (OMics Network Integration and Spatial representation), a convolutional deep-learning framework that embeds multi-omics profiles into a five-channel genomic image ordered by Hi-C–derived chromosomal proximity. Somatic mutation, copy-number alteration, DNA methylation and

Publication date: 2008 Source: Computer Law & Security Report, Volume 24, Issue 6 Author(s): Donna M. Gitter

Publication date: Available online 9 July 2026 Source: Technological Forecasting and Social Change Author(s): Hayoon Lee, Juhyun Lee, Heyoung Yang

Chai Discovery Inc., a company that develops artificial intelligence models to predict interactions between biochemical molecules, today announced it has raised $400 million in new funding, nearly tripling its valuation to $3.8 billion. Index Ventures led the Series C round alongside Kleiner Perkins, Sequoia Capital and Dimension. New investors joining the investment included Bain Capital […] The post Chai Discovery nabs $400M Series C as AI-designed antibodies reach Big Pharma appeared first on