🧬 biology

Integrative Machine Learning Discovery of a Robust miRNA Signature for Oral Squamous Cell Carcinoma

This study integrates machine learning with public tissue miRNA datasets to identify a stable thirty-miRNA signature, including known and novel biomarkers, that demonstrates promising diagnostic potential for oral squamous cell carcinoma through external validation on circulating serum data.

Rida Naveed, Hafiz Ghulam Murtaza Saleem, Safia Firdous, Muhammad Sohail, Qainaat Faiz, Iman Asif, Moeez Khalid2026-08-24
🧬 biology

Implant-Grade Neural Sensing with Artifact-Resilient Computational Intelligence Preserves Spatial Fidelity of HFO Biomarkers in Epilepsy

This study demonstrates that an implant-grade neural interface integrated with artifact-resilient computational intelligence can preserve the spatial fidelity and clinical utility of high-frequency oscillation biomarkers for epilepsy, enabling future adaptive neuromodulation despite hardware limitations compared to clinical-grade amplifiers.

Behrang Fazli Besheli, Amir Hossein Ayyoubi, Chandra Prakash Swamy, Jhan Luke Okkabaz, Jamie J. Gompel, Kai J. Miller, W (…)2026-08-24
🧬 biology

Transforming growth factor beta 1 (TGF-β1) modulates central noradrenergic neurotransmission via a TGF-β receptor 1 (TGF-βR1)-mediated mechanism

This study demonstrates that Transforming growth factor beta 1 (TGF-β1) selectively inhibits the spontaneous firing of central noradrenergic neurons in the locus coeruleus via a TGF-β receptor 1-mediated mechanism, without affecting serotonergic or dopaminergic neurons, thereby suggesting a specific role for this signaling pathway in stress and affective disorder regulation.

Matej Racicky, Ruslan Paliokha, Daniil Grinchii, Eliyahu Dremencov2026-08-24
🧬 biology

Regression-based Prediction of Stature From Humeral and Femoral Segment Lengths Among Nigerian School Children

This study developed sex-specific regression equations using humeral and femoral segment lengths to accurately estimate the stature of school-aged children in Southwestern Nigeria, providing population-specific tools for forensic and clinical applications.

Adesua Emmanuel Ogunmokunwa, Tunde Temidayo Elemoso, Francis Temitope Adeniran, Ebenezer Omoyeni Lawal, Tobi Victoria Om (…)2026-08-24
🧬 biology

Network mapping identifies a shared APP-MAPT proteostasis convergence zone in Alzheimer's disease

By constructing a comprehensive proteostasis network without prior disease data, researchers identified a specific convergence zone of 51 shared proteins between APP and MAPT pathways that is enriched in Alzheimer's-associated dysregulation, offering a defined candidate space to investigate shared proteostatic failure as a mediator of Alzheimer's disease pathology.

Bhuvaneshwar Yarlagadda, Vijay Kumar2026-08-24
🧬 biology

Hepatic and Brain Spatial Gene Expression Changes in Intragastric Alcohol Fed APP/PS1 Alzheimer's Disease Mouse Model

This study presents the first integrated multi-organ spatial transcriptomic analysis of chronic intragastric alcohol feeding in APP/PS1 mice, revealing region-specific gene expression changes in the liver and brain that highlight coordinated molecular perturbations in oxidative stress, immune signaling, and metabolic pathways, thereby implicating significant liver–brain crosstalk in Alzheimer's disease pathogenesis.

Ashley Duche, Devaraj Venkatapura Chandnra, Derick Han, Rachita K. Sumbria, Moom Rahman2026-08-24
🧬 biology

Overfitting, Consciousness, and the Geometry of Experience: A Unified Computational Framework

This paper proposes a unified computational framework that reconceptualizes the unconscious as an overfitted generative model of an individual's unique sensory history, characterizing consciousness as the active inference process that dynamically minimizes prediction error between these specialized priors and real-time sensory data within a non-equilibrium thermodynamic system.

Barco Jie You2026-08-24
🧬 biology

A Decade of cEEGrid: What the Around-the-Ear Array Can and Cannot Measure

This scoping review of 67 studies evaluates the cEEGrid around-the-ear electrode array, concluding that while it effectively measures temporal-lobe and certain cognitive signals comparable to cap-EEG through nonlinear decoding, its utility for distal sources is physically limited and its real-world translation requires standardized reporting conventions and task redesign.

Bin Gou, Zikang Song, Mangor Pedersen, Paul Sowman2026-08-24
🧬 biology

PerfuRange: feasible-set identifiability analysis of component blood flow in dual-input perfusion using a groundtruth digital phantom

This paper introduces PerfuRange, a framework that quantifies the identifiability of component blood flow in dual-input perfusion by determining the feasible range of physiological targets compatible with specific acquisition and modeling constraints, revealing that good model fits often fail to guarantee correct physiological decomposition due to inherent limitations in data and model assumptions.

Tomoki Saka2026-08-24