AI-powered closed-loop wearable bioelectronics for personalized and autonomous healthcare
Chen, C., Ding, S. & Wang, J. Digital health for aging populations. Nat. Med. 29, 1623–1630 (2023). Article …
Small language models in medicine
These authors contributed equally: Yiming Qin, Tao Yan, Matthew Yu Heng Wong. School of Clinical Medicine, Beijing Tsinghua…
Barriers to understanding how many people use AI for mental health support: an estimate and narrative review
Based on our inclusion criteria, we have listed the surveys included from our search in Table 2. Table…
Large reasoning models as thinking machines for medicine
Jaech, A. et al. OpenAI o1 system card. Preprint at https://arxiv.org/abs/2412.16720 (2024). Guo, D. et al. DeepSeek-R1 incentivizes…
Chromatix: a differentiable, GPU-accelerated wave-optics library
Design and implementation The design of Chromatix is strongly inspired by current deep learning frameworks. Here we detail…
Self-reconfigurable polarization perception in dual-anisotropy heterostructures for high-dimensional in-sensor computing
Rubin, N. A. et al. Matrix Fourier optics enables a compact full-Stokes polarization camera. Science 364, eaax1839 (2019).…
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…
Twisted graphene puts magnetic fields in check
A graphene-based quantum sensor uses two decoupled layers to form a quantized 4 × 4 Landau-level checkerboard when…
Barriers to translating continuous monitoring technologies for preventative medicine
What is Diabetes? (CDC, 2023). Harris, M. I. & Eastman, R. C. Early detection of undiagnosed diabetes mellitus:…
CT radiomics-based explainable machine learning model for accurate differentiation of malignant and benign endometrial tumors: a two-center study | BioMedical Engineering OnLine
This study was conducted in accordance with the tenets of the Declaration of Helsinki (as revised in 2013).…
Systema: a framework for evaluating genetic perturbation response prediction beyond systematic variation
Nonparametric baselines We design two nonparametric baselines that we refer to as perturbed mean and matching mean. Perturbed…
CRISPR-GPT for agentic automation of gene-editing experiments
Building AI co-pilot harnessing LLM’s reasoning ability CRISPR-GPT supports four major gene-editing modalities and 22 gene-editing experiment tasks…