Embracing non-linearity in human ageing
Moqri, M. et al. Biomarkers of aging for the identification and evaluation of longevity interventions. Cell 186, 3758–3775…
Regulatory and metabolic control of microbial biosynthetic gene clusters
Schmidt, B. et al. A natural history of botanical therapeutics. Metabolism 57, S3–S9 (2008). Article CAS PubMed PubMed…
Enhancing brain tumor detection through deep learning and explainable AI techniques
This section provides a comprehensive description of the proposed DL framework for brain tumor detection in MRI scans.…
Delayed molecular aging, preservation of energy metabolism and enhanced exercise response in exercise-trained human muscle
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M. & Kroemer, G. The hallmarks of aging. Cell 153,…
Sensor wide association studies in digital medicine
Data quality and standardization Wearable data can be noisy, incomplete, and inconsistent across devices. Even within a single…
Evaluating a digital serious game for learning medical terminology in a randomized controlled trial
Smith, S., Fisher, J. & Goff, I. MediLex: the medical jargon-busting game. Clin. Teach. 14, 273–278 (2017). Google…
NutriMatch: harmonizing food composition databases with large language models for enhanced nutritional prediction
Data collection We utilized data from the 10K Project, a prospective human cohort study involving over 10,000 healthy…
Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when?
The rise in publications addressing the use of general artificial intelligence (GAI), namely large language models (LLMs), for…
Evaluating GPT-4’s ability to generate informed consent material for genetic testing
Our findings showed that GPT-4-generated materials for both NIPT and BRCA cases remained difficult to read according to…
Nucleotide dependency analysis of genomic language models detects functional elements
SpeciesLM training For SpeciesLM metazoa, we obtained metazoan genomes comprising 494 different species from the Ensembl 110 database36.…
CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold
Input embeddings In CellNavi, we use single-cell raw count matrices as the only input. Specifically, the single-cell sequencing…
Spatial architecture of development and disease
Bressan, D., Battistoni, G. & Hannon, G. J. The dawn of spatial omics. Science 381, eabq4964 (2023). Article …