Why Big Pharma Is on a $10 Billion Acquisition Spree in 2026
Pharmaceutical giants are spending $10 billion on biotech acquisitions in 2026, racing to replace aging drug pipelines before patent cliffs hit.
163 articles
Pharmaceutical giants are spending $10 billion on biotech acquisitions in 2026, racing to replace aging drug pipelines before patent cliffs hit.
UC Berkeley's $16 million innovation push helps researchers turn lab breakthroughs into real companies, bridging the gap from discovery to market impact.
AI drug discovery leaders warn U.S. funding cuts risk losing scientific edge as the $3.25 billion market grows 26% annually toward $10 billion by 2031.
Canada will launch a $10 million national genomics hub combining AI and genetic data to revolutionize forest, fishery, and mining management.
Seoul National University's Folddisco tool searches AI-predicted protein structures 20 times faster, unlocking hidden functions in millions of proteins.
Google DeepMind and Sanger Institute launch a $25 million AI genomics consortium to create curated datasets that will accelerate biological discoveries.
Chemical industry leaders are racing to master AI applications before the technology reshapes manufacturing, safety protocols, and workforce training.
Scientists cataloged 500 million deep-sea genes that could revolutionize DNA sequencing, including a novel enzyme that enhances nanopore technology.
AI-powered systems are replacing lab notebooks at materials companies, turning scattered experimental data into predictive models that accelerate.
Nxera Pharma joins OpenFold AI consortium while ByteDance spins off its drug discovery unit, signaling AI's shift from research to real medicines.
Pharmaceutical companies are replacing lab rats with human-derived organoids and stem cells to cut billions in failed drug trials.
SandboxAQ integrates quantum drug discovery models with Claude, letting researchers screen compounds using plain English instead of complex coding.
Scientists unlock hidden catalyst discoveries by combining human expertise, statistical analysis, and AI to mine decades of fragmented research data.
AI-designed miniproteins successfully targeted 11 previously difficult drug receptors, potentially opening access to hundreds more unexplored targets.
AlphaFold became the first AI to win a Nobel Prize after solving protein folding in months, raising questions about humanity's role in science.
AI co-scientists are revolutionizing drug discovery as 120+ startups build intelligent platforms that collaborate with researchers, not replace them.
Advanced genome editing and AI-powered crop design are moving beyond simple gene deletion to rebuild entire metabolic pathways, helping plants survive.
AI breakthrough predicts catalyst performance across different material families, potentially accelerating clean energy discoveries like green hydrogen.
AlphaFold's AI can predict protein structures in hours versus months in labs, accelerating drug discovery and making biological research accessible.
Pharma companies are restructuring research teams around AI to accelerate drug discovery, with some finding new compounds in 18 months vs. 4-5 years.
Spatial transcriptomics reveals how mini-puberty's brief hormone surge in infant boys creates lasting effects on fertility through hidden cellular.
Pharmaceutical giants are sharing billion-dollar AI models with competitors through federated learning, keeping data private while accelerating drug.
Scientists develop D&D-seq, a breakthrough tool that maps DNA-protein interactions in single cells, solving a decades-old challenge in genetics research.
AI systems are learning chemistry's fundamental principles instead of just memorizing patterns, accelerating drug discovery and materials design.
Genomic technologies like single-cell sequencing are breaking down silos between biology fields, enabling shared research across disease and conservation.
Sanofi and Owkin will deploy AI agents that autonomously handle drug research tasks, marking a shift from data analysis to independent execution.
Children make up 25% of the U.S. population but only 2.4% of AI research, prompting a new hospital-university hub to build pediatric-specific AI tools.
China's DNA sequencing market will nearly double to $2.84 billion by 2031, with AI becoming essential for analyzing massive genetic datasets.
Nobel laureates will debate whether corporate control of AI protein-folding tools like AlphaFold threatens open science as venture funding doubles to.
AI antibody discovery faces a critical data bottleneck: only 1,800 antibody structures exist versus 240,000 total proteins in databases.
Ames Lab scientists use physics-informed AI to discover rare-earth-free magnets, potentially ending America's dependence on foreign suppliers.
UAE researchers propose adaptive health framework using epigenetic monitoring to prevent disease before it strikes, potentially transforming global.
Amgen cut drug discovery time in half using AI and AlphaFold-powered molecular modeling, proving speed gains that could reshape pharma economics.
AI systems now predict drug success with 90% accuracy compared to the historical 10% rate, potentially saving billions in failed trials.
Scientists discovered a hidden cancer protein pocket that AI systems missed, revealing critical limitations in artificial intelligence for drug discovery.
AI and advanced DNA sequencing help African patients achieve 51% rare disease diagnosis rates, closing gaps in genetic databases and medical care.
Demis Hassabis reveals how AlphaFold's protein folding breakthrough was just one building block in DeepMind's roadmap to artificial general intelligence.
Universities are rethinking materials science education to teach students critical AI evaluation skills, not just tool usage, for future careers.
Scientist's new DNA mapping technique reveals how 6.5 feet of genetic material folds to control genes, opening paths to cancer treatments.
Scientists create the first chip that generates, controls, and reads light-based information in one device, potentially revolutionizing quantum computing.
AI genome models will predict herbicide-resistant weeds before they spread, helping farmers preserve chemical effectiveness and reduce costs.
UC Santa Barbara researchers are rebuilding AI from scratch to understand physical processes, developing apps that predict brain changes during pregnancy.
New AI model analyzes complete tumor genetics to predict cancer treatment response, potentially helping more patients beyond the 8% currently matched.
Half of clinical trial experts don't trust AI due to regulatory uncertainty, but agencies are ready to partner on transparent implementation.
Machine learning algorithms now predict new nanomaterial compositions with 95% accuracy, potentially revolutionizing materials discovery timelines.
Scientists found 522 DNA inheritance patterns that break Mendel's century-old genetic rules, revealing epigenetic marks can pass between generations.
FDA pushes pharma to use AI for mining old drugs' new uses, potentially unlocking therapies faster from 6 million untapped clinical data points.
Illinois team achieves 98-100% yields stacking ultra-thin silicon circuits at 200°C, opening new path for Moore's Law through 3D chips.
ProxyBio's AI platform cuts cancer drug testing time from six months to six weeks using living tumor models, securing $3.5M in funding.
ESMFold2 AI predicts 1.1 billion protein structures, exceeding AlphaFold by 800 million and offering superior antibody-antigen binding predictions.