Results 211 to 220 of about 4,036 (295)
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Protocol for stable cell line production to express muscle-type nicotinic receptor. [PDF]
Li A, Sauer DB, Dong YY.
europepmc +1 more source
The uncovered IKKβ‐USP28‐HEY1 axis fuels cancer stemness and immune evasion in hepatocellular carcinoma. USP28 deubiquitinates HEY1 upon IKKβ‐mediated phosphorylation, conferring PD‐1/PD‐L1 blockade resistance. Pharmacological inhibition of USP28 sensitizes resistant tumors to anti‐PD‐1 immunotherapy, revealing a promising therapeutic strategy ...
Na Shao +8 more
wiley +1 more source
Examining the influence of port ship activities on pollutant emissions in port environments. [PDF]
Gao X, Yu Q, Dai W, Chen Q.
europepmc +1 more source
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li +13 more
wiley +1 more source
Protocol for cellular age prediction in yeast and human single cells using transfer learning. [PDF]
Duari S, Gautam V, Ahuja G.
europepmc +1 more source
A foldable bimodal sensor integrates a triboelectric nanogenerator and graphene piezoresistive effect into a monolithic laser‐induced graphene film. It enables synchronous non‐contact and tactile perception, achieving a distance of 110 mm, a sensitivity of 11.2 kPa−1, and a response time of 10 ms.
Weixiong Yang +10 more
wiley +1 more source
Methodological insights into fecal microbiota transplantation: Dissecting key approaches for success. [PDF]
Mundhra SK, Kochhar R.
europepmc +1 more source
AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz +4 more
wiley +1 more source
Development of an automated fruit classification system by using computer vision and deep learning. [PDF]
Mac TT +4 more
europepmc +1 more source

