Each year we compile our 10 Breakthrough Technologies list, featuring our educated predictions for which technologies will have the biggest impact on how we live and work. This year, however, we had a dilemma. While our final picks encompass all our core coverage areas (energy, AI, and biotech, plus a few more), our 2026 list […]
Novo Nordisk partners OpenAI on R&D “transformation”
Seeking an R&D edge, Novo Nordisk has become the latest big pharma group to forge an alliance with tech giant OpenAI.
Travere claims first FDA OK in rare kidney disease FSGS
Shrugging off an earlier phase 3 disappointment, Travere’s Filspari has become the first FDA-approved treatment for rare kidney disease FSGS.
Revolution rockets on strong pancreatic cancer data
Revolution Medicines thinks it could transform the treatment of pancreatic cancer based on phase 3 data with its pan-RAS(on) inhibitor daraxonrasib.
FDA approves Travere’s Filspari as first drug for the kidney disease FSGS
The FDA expanded the label for Filspari on Monday to add another kidney condition. The drug is now the first therapy approved in the US for focal segmental glomerulosclerosis (FSGS). The pill may be taken …
Alamar, Hemab, Kailera, and Seaport advance IPOs
The last few days have seen a flurry of biotech IPO news, with Alamar, Hemab, Kailera, and Seaport all pushing for Nasdaq listings.
Federated learning for fair autism spectrum disorder screening across age-heterogeneous populations
IntroductionThe detection of Autism Spectrum Disorder (ASD) remains challenging due to the heterogeneity of behavioural manifestations, limited dataset availability, and strict privacy requirements. Conventional centralized machine learning approaches often suffer from overfitting and limited generalizability across different age groups. This study proposes a federated learning (FL) framework to enable collaborative ASD screening across children, adolescents, […]
Amplifying missing voices in healthcare research: an AI framework for co-production of PPIE
Patient and Public Involvement and Engagement (PPIE) is essential for high-quality healthcare research, yet significant challenges persist in achieving diverse input. Traditional PPIE panels can struggle with recruitment limitations, geographical constraints, and resource intensity, resulting in panels that may not reflect population diversity or lived experiences. In order to address these challenges, we developed Panelyze, […]
Medical clinical minds meet artificial intelligence: Italian physicians’ knowledge, attitudes, and concordance between Italian physicians and AI-generated diagnoses. A national cross-sectional study
BackgroundArtificial Intelligence has increasingly been integrated into clinical practice, yet its adoption and perception among medical professionals remain poorly understood, particularly in the Italian healthcare system. To investigate Italian physicians’ knowledge, attitudes, and clinical concordance with AI-generated diagnostic recommendations, using a validated questionnaire and a clinical scenario processed by ChatGPT.MethodsA national, cross-sectional web-based survey was […]
Pfizer rebuked by FDA for misleading Adcetris ads on Facebook
The FDA has scolded Pfizer over Facebook ads for the cancer drug Adcetris, accusing the Big Pharma of failing to adequately communicate the indication, contraindications and risks.
Para-B&B: Load-Balanced Deterministic Parallelization of Solving MIP
arXiv:2604.09556v1 Announce Type: cross Abstract: Mixed-integer programming (MIP) extends linear programming by incorporating both continuous and integer decision variables, making it widely used in production planning, logistics scheduling, and resource allocation. However, MIP remains NP-hard and cannot generally be solved to optimality in polynomial time. Branch-and-bound, a fundamental exact method, faces significant parallelization challenges due […]
ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
arXiv:2604.09572v1 Announce Type: cross Abstract: We introduce ACE-TA, the Agentic Coding and Explanations Teaching Assistant framework, that autonomously routes conceptual queries drawn from programming course material to grounded Q&A, stepwise coding guidance, and automated quiz generation using pre-trained Large Language Models (LLMs). ACE-TA consists of three coordinated modules: a retrieval grounded conceptual Q&A system that […]