Results 231 to 240 of about 1,067,665 (298)

The bound growth of induced earthquakes could de-risk hydraulic fracturing. [PDF]

Commun Earth Environ
Schultz R, Lanza F, Dyer B, Karvounis D, Fiori R, Shi P, Ritz V, Villiger L, Meier P, Wiemer S.   +9 more
europepmc   +1 more source

Association of HAMP Expression and CD8+ T‐Cell Infiltration With Atezolizumab–Bevacizumab Response in Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
In hepatocellular carcinoma treated with atezolizumab–bevacizumab, responders showed RNA‐seq enrichment of immune and chemokine pathways with higher HAMP expression. In resected specimens, immunohistochemistry confirmed increased intratumoral CD8+ T‐cell density and hepcidin (HAMP), supporting HAMP plus CD8 as components of a composite predictor of ...
Shun Nakamura, Yuki Murakami, Yusuke Oshima, Takashi Masuda, Wataru Miyoshino, Hiroomi Takayama, Yoko Kawano, Teijiro Hirashita, Yuichi Endo, Masafumi Inomata   +9 more
wiley   +1 more source

Age- and sex-dependent bone marrow adiposity and distinct transcriptional trajectories in endothelial subtypes. [PDF]

Sci Rep
Syed UI, Hsu M, Howlett CJ, Khan ZA.
europepmc   +1 more source

[Catalogue] /

, 1905
openaire   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Bidirectional CRISPR screens decode a GLIS3-dependent fibrotic cell circuit. [PDF]

Nature
Pokatayev V, Jaiswal A, Shih AR, Segerstolpe Å, Li B, Creasey EA, Zhao Y, Lin C, Murphy S, Chou CH, Graham DB, Xavier RJ.   +11 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Ononin combined with <i>Lactobacillus paracasei</i> alleviates DSS-induced ulcerative colitis by ferroptosis via inhibiting JAK2/STAT3 signaling pathway. [PDF]

Biochem Biophys Rep
Huang M, Yang F, Song JC, Wang X, Jiao PP, Kang MJ, Guo QQ, Si LZ, Zhang SH, Luo LS, Li YW, Zhang W, Gong YS, Dong L.   +13 more
europepmc   +1 more source

Catalogue /

, 1902
openaire   +2 more sources