Johnson & Johnson has built its presence in KRAS drugs for cancer with a $1bn deal to buy Firefly Bio and its degrader-antibody conjugate platform.
Incyte gobbles up Star’s Vega haematology unit in $2bn deal
Incyte has agreed to buy Star Therapeutics’ Vega subsidiary for $1.25bn upfront, adding a late-stage drug candidate for bleeding disorder VWD.
‘Law & Order’ star Mariska Hargitay teams up with BMS to investigate multiple myeloma research in awareness campaign
Actress Mariska Hargitay looks back on her late father’s multiple myeloma journey in BMS’ “Investigate Myeloma” campaign, highlighting its emerging CELMoD research.
ADA: Lilly’s weight-loss reveal, and wannabes display wares
Lilly reveals more details of its retatrutide obesity and diabetes studies, plus trial updates from Zealand/Roche, Pfizer, Novo Nordisk, and Sciwind.
Roche doubles down on BTK with $2.3bn Nurix deal
Roche is paying $700m upfront for rights to bexobrutideg, a BTK degrader that it says has potential across oncology, immunology and neurology.
ADA: Safety data offset efficacy for survodutide
New data with Zealand/Boehringer’s survodutide reinforce its metabolic benefits, but a high discontinuation rate has raised concerns.
Exploring public perceptions of artificial intelligence in bereavement support: a qualitative study of griefbots
BackgroundArtificial intelligence technologies designed to simulate deceased loved ones, often referred to as griefbots, are emerging as a novel form of bereavement support. Although such technologies may offer emotional comfort and a sense of continued connection with the deceased, they also raise complex psychological, ethical, and societal concerns. This study aimed to explore public perceptions […]
Beyond the digital divide: multi-group SEM examination of socioeconomic status, mHealth utilization, and urban-rural physical activity disparities in Indonesia
BackgroundMobile health (mHealth) technological innovations are now widely being promoted as a scalable solution to the rising problem of obesity. Unfortunately, there is a dearth of empirical research on the extent to which mHealth utilization is associated with acceptance disparities in emerging economies.ObjectiveThis work explores the associations among socioeconomic status (SES), urban-rural differences, mHealth utilization, […]
Explainable and interpretable models for predicting early-onset hypertension in the Tlalpan 2020 cohort
BackgroundEarly-onset hypertension results from complex interactions among demographic, lifestyle, metabolic, and psychosocial factors. While machine learning models can predict hypertension with relative accuracy, their lack of interpretability limits their clinical utility.MethodsUsing a nested case-control design based on the Tlalpan 2020 prospective cohort, a 10-year study of clinically healthy adults in Mexico City, this study applies […]
A qualitative, multi-framework methodology for analysing health information technology–related patient safety incidents
BackgroundThe increasing reliance on health information technology (HIT) has introduced new and often unforeseen risks to patient safety in complex healthcare systems. Many HIT-related safety problems emerge only after systems are embedded in routine clinical practice and are difficult to identify using prospective or purely quantitative methods. Incident reports provide valuable insights into real-world failures, […]
Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles
arXiv:2606.06715v1 Announce Type: cross Abstract: We ask whether topic sentiment has a causal effect on perceived political ideology, and whether the answer depends on who assigns the ideology label. Using articles from AllSides, paired with shared sentiment annotations from Llama-3.3-70b-versatile, we compare ideology labels from expert human annotators, GPT-4o-mini (baseline and finetuned), and Llama-3.3-70B. We […]
LLM-Guided Search for Deletion-Correcting Codes
arXiv:2504.00613v2 Announce Type: replace Abstract: Finding deletion-correcting codes of maximum size has been an open problem for over 70 years, even for a single deletion. We adapt FunSearch, a large language model (LLM)-guided evolutionary search, to discover functions that construct deletion-correcting codes at short code lengths. For a single deletion, our search finds a function […]