Momentary predictors of dissociation in functional neurological disorder: an ecological momentary assessment-based pilot study
Tracing the rise of biomedical foundation models
Nature Biotechnology, Published online: 30 April 2026; doi:10.1038/s41587-026-03135-y
A survey of biological foundation models reveals current trends and provides an outlook for future developments in this rapidly evolving field
A data-driven risk stratification framework for clinical obesity
Nature Medicine, Published online: 30 April 2026; doi:10.1038/s41591-026-04370-1
To inform precision management of obesity, this study developed and externally validated a parsimonious model (OBSCORE) that accurately predicts the risk of 18 obesity-related complications. This was achieved by integrating thousands of clinical, molecular and other health-related characteristics assessed in 200,000 individuals with overweight or obesity within a machine-learning framework.
Uncovering risk factors in the exposome for early-onset colorectal cancer
Nature Medicine, Published online: 30 April 2026; doi:10.1038/s41591-026-04369-8
The alarming rise in the incidence of colorectal cancer among younger individuals is probably due to environmental factors; epigenetic signatures of exposures may help uncover drivers of this trend, but questions remain.
Data-driven prioritization of high-risk individuals for weight loss interventions
Nature Medicine, Published online: 30 April 2026; doi:10.1038/s41591-026-04353-2
OBSCORE is a machine learning-based risk prediction tool that uses a set of clinical features to stratify individuals with a body mass index (BMI) of ≥ 27 kg m−2 by their 10-year risk of obesity-related complications, outperforming existing models. OBSCORE is generalizable across diverse populations, supporting risk-based prioritization of obesity interventions that goes beyond simple BMI thresholds.
Implications of Glucagon-Like Peptide-1 Receptor Agonists (GLP-1 RAs) for Mood Disorders and Suicide Risk
A strategic imperative in mood disorders is to identify innovative mechanisms that translate into improved therapeutics when compared to the extant options. More specifically, there is a need for treatments with greater efficacy, shorter time-to-peak efficacy, greater durability of effect as well as improved tolerability profiles. Moreover, priority has also shifted towards identifying mood disorder therapeutics capable of targeting domains of psychopathology that are most pervasive, debilitating and inadequately treated by conventional pharmacology (e.g., anhedonia, cognitive impairment).
Facilitating Thought Progression: A Neurocognitive Framework Linking Thought Dynamics and Mood Disorders
Mood and thought are tightly coupled, but the mechanisms linking them are not understood. This link is particularly important when considering mood disorders such as depression. We propose the Facilitating Thought Progression (FTP) framework, which characterizes depression as a disorder of thought dynamics, encompassing both the temporal evolution and semantic expanse of mental activity. Five parameters jointly determine the fluency of thought progression: breadth, speed, flexibility, novelty, and scope.
Glucose-dependent spatial and temporal modulation of oligodendrocyte progenitor cell proliferation via ACLY-regulated histone acetylation
Nature Neuroscience, Published online: 30 April 2026; doi:10.1038/s41593-026-02263-7
The authors identify glucose-derived conversion of citrate to acetyl-CoA upstream of histone acetylation as modulating the regional dynamics of oligodendrocyte progenitors, with extranuclear acetyl-CoA from other sources being used for myelination.
Laminar organization of cellular microcircuits modulating human interictal epileptiform discharges
Nature Neuroscience, Published online: 30 April 2026; doi:10.1038/s41593-026-02258-4
High-density single-neuron recordings in patients with epilepsy revealed interictal discharges are generated by structured laminar circuits. These circuits overlapped with cognitive circuits and could predict discharges up to 1 s in advance.

