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Preparing healthcare education for an AI-augmented future.
Npj Health Syst
December 2024
University of Texas Health Science Center at Houston, Houston, TX USA.
Artificial intelligence (AI) fundamentally transforms healthcare education as a knowledge enterprise, creating a distributed cognitive system composed of the human brain, which remains relatively unchanged, and AI-based knowledge and cognitive functions, which have accelerated exponentially in scale and power. Education must focus on developing skills to collaborate with AI and on achieving outcomes like problems solved and discoveries made. Curriculum and education policies also need to adapt to this transformation.
View Article and Find Full Text PDFArtificial intelligence in pediatric allergy research.
Eur J Pediatr
December 2024
Krefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Box 424, 405 30, Gothenburg, Sweden.
Unlabelled: Atopic dermatitis, food allergy, allergic rhinitis, and asthma are among the most common diseases in childhood. They are heterogeneous diseases, can co-exist in their development, and manifest complex associations with other disorders and environmental and hereditary factors. Elucidating these intricacies by identifying clinically distinguishable groups and actionable risk factors will allow for better understanding of the diseases, which will enhance clinical management and benefit society and affected individuals and families.
View Article and Find Full Text PDFClassification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery.
J Chem Inf Model
December 2024
Department of Energy, Politecnico di Torino, C.so Duca degli Abruzzi 24, Torino 10129, Italy.
It stands to reason that the amount and the quality of data are of key importance for setting up accurate artificial intelligence (AI)-driven models. Among others, a fundamental aspect to consider is the bias introduced during sample selection in database generation. This is particularly relevant when a model is trained on a specialized data set to predict a property of interest and then applied to forecast the same property over samples having a completely different genesis.
View Article and Find Full Text PDF[AI-based discovery of broadly neutralizing antibodies against HIV-1].
Med Sci (Paris)
November 2024
Département de médicine, Service d'immunologie et allergie, Centre hospitalier universitaire Vaudois (CHUV) et université de Lausanne (UNIL), Faculté de biologie et médecine, Lausanne, Suisse.
Intestinal mucosal barrier repair and immune regulation with an AI-developed gut-restricted PHD inhibitor.
Nat Biotechnol
December 2024
Insilico Medicine US, Inc., Boston, MA, USA.
Hypoxia-inducible factor prolyl hydroxylase (PHD) inhibitors have been approved for treating renal anemia yet have failed clinical testing for inflammatory bowel disease because of a lack of efficacy. Here we used a multimodel multimodal generative artificial intelligence platform to design an orally gut-restricted selective PHD1 and PHD2 inhibitor that exhibits favorable safety and pharmacokinetic profiles in preclinical studies. ISM012-042 restores intestinal barrier function and alleviates gut inflammation in multiple experimental colitis models.
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