Results 231 to 240 of about 120,987 (294)

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

The draft genome sequence of <i>Kitasatospora</i> sp. HPM-01-4 isolated from Mentaos Pine Forest, heart of Borneo, Indonesia. [PDF]

Microbiol Resour Announc
Ariyanti D, Nuhamunada M, Izzati N, Fitriana M, Widyaningrum AR, Sanka I, Kusuma AB.   +6 more
europepmc   +1 more source

Integrative genomic and spatial transcriptomic analysis elucidates the oligodendrocyte‐mediated etiology of epileptic cortical thinning

Epilepsia Open, EarlyView.
Abstract Objective Focal epilepsy is characterized by progressive cortical thinning, particularly within limbic structures; however, whether this atrophy reflects acquired seizure‐induced damage or shared genetic predisposition remains unresolved. Methods We integrated genome‐wide association study (GWAS) summary statistics from the ILAE Consortium ...
Dingyuan Zhang, Qianqian Zhang, Guangming Li, Lingting Yu, Yanling Ma, Xiaoli Hong, Yujie Kui, Shanshan Cai, Jianguang Sun, Zechao Zhu   +9 more
wiley   +1 more source

Rethinking <i>de novo</i> genes in plants: mechanisms, methodological progress, and future prospects. [PDF]

Front Plant Sci
Luo M, Wu H, Zhan D, Chen G, Cao Y.
europepmc   +1 more source

Multi‐Cohort Analysis Reveals Genetic Predispositions to Clonal Hematopoiesis as Mutation‐Specific Risk Factors for Stroke

Advanced Genetics, Volume 6, Issue 1, March 2025.
This study comprehensively evaluated the differential effect of clonal hematopoiesis (CH) mutations on the risk of various stroke subtypes and functional recovery. It shows that TET2 is associated with small vessel stroke possibly via a pro‐inflammatory pathway. Abstract Recent observational studies have found an association between Clonal Hematopoesis
Shuyang Lin, Yang E. Li, Yan Wang
wiley   +1 more source

Advanced machine learning techniques for coronary artery disease risk prediction in early middle-aged adults. [PDF]

BMC Med Genomics
Ntritsos G, Ornan E, Feldhay E, Chernin G, Evangelou E.   +4 more
europepmc   +1 more source

Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries [PDF]

, 2018
Borecki, Ingrid, de las Fuentes, Lisa, et al.,, Feitosa, Mary F, Gu, C. Charles, Kraja, Aldi T, Li, Yize, Lin, Shiow, Province, Michael A, Rao, Daberru C, Sung, Yun J, Wang, Lihua, Williams, Christine, Wojczynski, Mary K   +13 more
core   +1 more source

Native grass breeding: Priority needs and strategic approaches

Grassland Research, EarlyView.
The key needs and breeding strategies of native grass. Abstract Native grasses possess extensive ecological adaptability, such as cold, drought, and salt tolerance, and tolerance to poor soil conditions. They play a crucial role in ensuring food security and ecological security.
Xueming Dong, Wenxian Liu, Zhipeng Liu
wiley   +1 more source

Machine learning prediction of bacterial optimal growth temperature from protein domain signatures reveals thermoadaptation mechanisms. [PDF]

BMC Genomics
Liu H, Zhu G, Chen L, Ye H, Zhang Y, Han G.   +5 more
europepmc   +1 more source

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

International Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago, Efthymios Ladoukakis, Dorota Scibior‐Bentkowska, Belinda Nedjai   +3 more
wiley   +1 more source