🧬 biology

Information Entropy of Biological Data: An Empirical Analysis

This paper presents a unified empirical analysis across six biological data modalities demonstrating that finite-sample bias severely distorts information-theoretic estimates, and argues that reporting entropy and mutual information without specifying the estimator and sample size is indefensible given that bias-corrected methods reveal distinct biological signals and correct systematic underestimation of entropy and overestimation of information content.

Alexander Memming2026-07-22
🧬 biology

Pre-Transformer Models for Longevity Science and Deep Ageing Clocks: An Empirical Analysis

This empirical study demonstrates that for biological-age prediction across diverse ageing cohorts, pre-transformer models (such as penalized regression and gradient boosting) generally outperform or match attention-based transformers in accuracy, data efficiency, cross-cohort transfer, and mortality risk stratification, establishing them as the rational default for longevity science while positioning transformers as a specialized tool only viable with exceptionally large datasets.

John Feng2026-07-22
🧬 biology

Deep Learning for Longevity Biomarker Development: An Empirical Analysis of Model Capacity versus Prediction Target for Blood-Based Aging Clocks

This empirical study demonstrates that for blood-based aging clocks, the choice of prediction target (mortality-derived phenotypic age versus chronological age) overwhelmingly determines biomarker validity and mortality association, rendering increases in deep learning model capacity largely ineffective for improving these critical outcomes.

John Feng2026-07-22
🧬 biology

EMT activates ER-to-Golgi trafficking through upregulation of REEP2 to promote lung cancer progression

This study identifies REEP2 as a critical mediator of EMT-driven lung cancer progression, demonstrating that the ZEB1/miR-183/193a axis upregulates REEP2 to enhance ER-to-Golgi trafficking and the secretion of pro-tumorigenic factors, thereby promoting tumor metastasis and immunosuppression.

Guan-Yu Xiao, Kevin Fulp, Oluwafunminiyi Obaleye, Shike Wang, Xin Liu, Jiang Yu, Jonathan M. Kurie, Jun Xu, William Russ (…)2026-07-22
🧬 biology

Comparative Bioactivity of Marine Macroalgae and Microalgae From the Brazilian Coast

This study demonstrates that extracts from Brazilian marine macroalgae (*Amansia multifida*, *Enantiocladia duperreyi*) and microalgae (*Chaetoceros muelleri*, *Thalassiosira pseudonana*) exhibit significant antimicrobial and antioxidant activities with low to moderate toxicity, highlighting their potential as sources of bioactive compounds for bioprospecting.

Arielle Araujo santod, Edson de Jesus Marques, Gabriel do Nascimento Santos, José Marcos de Castro Nunes, Edson Delgado (…)2026-07-22
🧬 biology

iPSC-Derived Myogenic Progenitor Cells from People with ME/CFS Reveal Altered Genes and Pathways with Drug Repurposing Potential

This study utilizes patient-derived iPSC myogenic progenitor cells to identify intrinsic transcriptomic abnormalities in ME/CFS, revealing downregulated cell cycle and immune pathways alongside upregulated metabolic reprogramming, which led to the identification of 22 potential drug repurposing candidates for further therapeutic validation.

Dao Nguyen, Trang T. T. Truong, Bruna Panizzutti, Megan Ellis, Briana Spolding, CourtneySwinton, Chiara Cristina Bortola (…)2026-07-21
🧬 biology

Expression profiles of lncRNAs H19, SPRY4-IT1, and XIST and their association with IDO1 and TDO2 in breast cancer

This study demonstrates that breast cancer patients exhibit significantly altered expression levels of lncRNAs H19, SPRY4-IT1, and XIST alongside elevated serum IDO1 and TDO2 concentrations, with specific correlations between these markers suggesting their combined role in immune-metabolic dysregulation and potential utility as biomarkers for disease progression.

Ashraf A. Hassan, Neveen A. Hussein, Yousri A. Rostom, Rana M. Habib, Hend A. Nour, Hany A. Alkhadry2026-07-21