Results 181 to 190 of about 127,282 (272)
Advancements in Dental Science through Artificial Intelligence and Machine Learning: A Comprehensive Review. [PDF]
Sharma A, Agarwal N.
europepmc +1 more source
Although the tumor microenvironment is known to shape immunotherapy response, its key determinants remain elusive, underscoring the critical need for single‐cell resolution analytical frameworks. We present scResponse, an efficient algorithm to quantify single‐cell responses to immunotherapy. By capturing diverse cellular subtypes and states associated
Qi Dong +21 more
wiley +1 more source
Unveiling patterns in clinical data: exploring the role of large language models and clustering algorithms. [PDF]
Ali AS +6 more
europepmc +1 more source
This work introduces a multimodal multi‐OoC platform that overcomes current limitations in liver‐tumor interaction studies and prodrug screening. By integrating dynamic microfluidic circuits, electrochemical sensing, and mass analysis, this platform enables non‐invasive, longitudinal monitoring of drug metabolism and hepatotoxicity, offering a ...
Dan Wang +10 more
wiley +1 more source
Distinct Biotypes of Visual Perception in Major Depressive Disorder
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai +13 more
wiley +1 more source
Structurally Enhanced Colloidal Molecules via Carbene‐Mediated Covalent C─H Insertion Crosslinking
This work presents a nonspecific covalent crosslinking strategy to significantly enhance the structural stability of colloidal molecules (CMs) without compromising their inherent structural and physicochemical properties by rationally designing a diazo‐based crosslinker.
Liwei Dai +7 more
wiley +1 more source
Early Apple Yield Prediction Based on Flowering Stage Image Thinning Simulation Characteristics. [PDF]
Yang Q, Liu L.
europepmc +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Toward next-generation machine learning and deep learning for spatial omics. [PDF]
Zirem Y, Fournier I, Salzet M.
europepmc +1 more source

