🧬 biology

Integrative bulk, single-cell and spatial transcriptomics characterizes the immune context of proliferative recurrence risk in early lung adenocarcinoma

This study integrates bulk, single-cell, and spatial transcriptomics to demonstrate that a cell-cycle program score (CCPS) in early-stage lung adenocarcinoma predicts recurrence risk while correlating with an immune-engaged and immunoregulatory transcriptional context, though the findings do not yet establish clinical predictive utility or causal immune regulation.

Yaxuan Liu, Ruijiang Lin, Ning Wei, Songla Bai, Liangliang Yang, Jiacheng Su, Diego Gonzalez Rivas, Minjie Ma, Biao Han2026-08-18
🧬 biology

HistAgent: an evidence-grounded agent for spatial molecular reasoning from routine histology

HistAgent is a unified framework that combines a visual-omics foundation model with a spatial AI agentic module to infer, interpret, and retrieve spatial molecular information from routine H&E histology images, offering a cost-effective and generalizable alternative to expensive spatial transcriptomics while enabling traceable, question-driven biological analysis.

Jin Liu, Wenlin Li, Hengrui Liu, Yan Lu, Xu Liao, Xiaobo Sun, Weiwei Zhai, Chengqi Lin2026-08-18
🧬 biology

Cross-Sectional Age Comparisons Understate Individual Performance Decline in Endurance Athletes: A Within-Runner Analysis of 264,213 Boston Marathon Finishes

By analyzing a longitudinal panel of over 15,000 Boston Marathon runners, this study demonstrates that traditional cross-sectional comparisons significantly underestimate individual endurance performance decline—by approximately 50% at age 65—because they fail to account for the selective attrition of slower athletes who drop out of competition over time.

Owen R. Thornton, Wenjun Li2026-08-18
🧬 biology

Exploring the Molecular and Biochemical Mechanisms of Aromasin in Modulating COX-2/iNOS for Alzheimer’s Disease-Associated Synaptic Dysfunction: An In Silico Drug Repurposing Study

This in silico drug repurposing study identifies Aromasin as a promising candidate for treating Alzheimer's disease-associated synaptic dysfunction by demonstrating its ability to simultaneously and stably bind to COX-2 and iNOS, thereby modulating inflammatory and oxidative pathways through favorable pharmacokinetics and thermodynamic stability.

Devesh Singh Baral, Rakesh Verma2026-08-18
🧬 biology

Docking and Molecular Dynamics of the Natural Diterpenoid Dihydrotanshinone I in Human 15-PGDH Across Three Inhibitor-Bound Receptor Structures

This study utilizes structure-based docking and molecular dynamics simulations across three distinct 15-PGDH receptor structures to demonstrate that the natural diterpenoid dihydrotanshinone I is a reproducible and mechanistically plausible candidate for inhibiting 15-PGDH, a potential therapeutic target for age-related muscle decline.

Sabbir Ahmad Antor, Md Abu Sadat Soash, Muktadir Al Mahmud, Raphael Kabir Niloy, Md. Mainul Hossain Bakul, Gokul Chandra (…)2026-08-18
🧬 biology

NeuroLab OS: A local-first software environment for scientist-reviewed neural time-series modelling and provenance-aware simulation

NeuroLab OS is a local-first, scientist-reviewed software environment (version 0.1.1) that integrates neural time-series preprocessing, model simulation, and provenance tracking into a single traceable workflow, successfully passing technical verification tests while requiring further external validation for scientific validity.

peiman jannatipour2026-08-18
🧬 biology

Cross-Dataset Generalization of Quantitative EEG Spectral Biomarkers for Alzheimer’s Disease: A Pre-registered Two-Cohort External Validation and What Does Not Transfer

This pre-registered study demonstrates that while quantitative EEG spectral biomarkers for Alzheimer's disease achieve strong within-cohort performance, their cross-dataset generalization is highly fragile and dependent on acquisition setup, with relative measures like the theta/alpha power ratio proving more robust than absolute features against domain shifts.

Ivan Cangas2026-08-18