Results 201 to 210 of about 2,065,553 (347)

Stroke prediction in elderly patients with atrial fibrillation using machine learning combined clinical and left atrial appendage imaging phenotypic features. [PDF]

BMC Cardiovasc Disord
Huang H, Xiong Y, Yao Y, Zeng J.
europepmc   +1 more source

Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics

Advanced Science, EarlyView.
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch, Brittany Scheid, Kathryn A Davis, Brian Litt, Arian Ashourvan   +4 more
wiley   +1 more source

Leveraging Machine Learning for Pediatric Appendicitis Diagnosis: A Retrospective Study Integrating Clinical, Laboratory, and Imaging Data. [PDF]

Health Sci Rep
Navaei M, Doogchi Z, Gholami F, Tavakoli MK.   +3 more
europepmc   +1 more source

A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics [PDF]

Benedikt Barthel Sorensen, Alexis Charalampopoulos, Shixuan Zhang, Bryce E. Harrop, L. Ruby Leung, Themistoklis P. Sapsis   +5 more
openalex   +1 more source

Tailoring a Functional Synthetic Microbial Community Alleviates Fusobacterium nucleatum‐infected Colorectal Cancer via Ecological Control

Advanced Science, EarlyView.
The bottom‐up strategy based on multiomics data is used for the SynCom design, and it successfully inhibited F. nucleatum growth and achieved stable colonization in vivo. In addition, it promoted tryptophan metabolism and secondary bile acid conversion, reduced lipid accumulation, relieved microbiome disorder, decreased inflammatory reaction, and ...
Zhongkun Zhou, Mengyue Yang, Hong Fang, Baizhuo Zhang, Yunhao Ma, Yongyuan Li, Yingjie Liu, Zeying Cheng, Yuanchun Zhao, Zhenzhen Si, Hongmei Zhu, Peng Chen   +11 more
wiley   +1 more source

Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024.

Interact J Med Res
Jaiteh M, Phalane E, Shiferaw YA, Amusa LB, Twinomurinzi H, Phaswana-Mafuya RN.   +5 more
europepmc   +1 more source

A teaching proposal for a short course on biomedical data science. [PDF]

PLoS Comput Biol
Chicco D, Coelho V.
europepmc   +1 more source

Data analysis and Forecasting of Tuberculosis and HIV co-infection: Exploring models from classical statistics to machine learning [PDF]

André Abade, Lucas Faria Porto, Alessandro Rolim Scholze, Daniely Kuntath, Nathan da Silva Barros, Thaís Zamboni Berra, Antônio Carlos Vieira Ramos, Ricardo Alexandre Arcêncio, Josilene Dália Alves   +8 more
openalex   +1 more source

De Novo Reconstruction of 3D Human Facial Images from DNA Sequence

Advanced Science, EarlyView.
This study introduces Difface, a novel deep‐learning model for reconstructing 3D facial images only from DNA data. By integrating transformer networks, spiral convolutions, and a diffusion model, Difface directly aligns high‐dimensional SNP data with 3D facial structures.
Mingqi Jiao, Jiarui Li, Bingxu Zhong, Siyuan Du, Shuning Li, Manfei Zhang, Qibin Zhang, Zhongming Liang, Fan Liu, Chunman Zuo, Sijia Wang, Luonan Chen   +11 more
wiley   +1 more source

A robust and statistical analyzed predictive model for drug toxicity using machine learning. [PDF]

Sci Rep
Rawat D, Bajaj R, Manchanda R, Mehta A, Paramasivam P, Bhagat SK, Ayanie AG.   +6 more
europepmc   +1 more source