Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. [PDF]
Huo J +6 more
europepmc +1 more source
Schematic diagram of our study showing that highly expressed POU2F1 in colorectal cancer (CRC) can directly accelerate the cytosolic lactate export to decrease PPP1R11 lactylation at K59, thereby attenuating the E3 ligase enzyme activity and protein stability of PPP1R11, which inhibits the ubiquitination of MDR2 at K413 and K538 but increases the ...
Longzheng Xia +8 more
wiley +1 more source
Conditional variational auto encoder based dynamic motion for multitask imitation learning. [PDF]
Xu B, Ud Din M, Hussain I.
europepmc +1 more source
A deep learning approach for morphological feature extraction based on variational auto-encoder: an application to mandible shape. [PDF]
Tsutsumi M +3 more
europepmc +1 more source
We demonstrate that Cars2, a cysteine catabolic enzyme in mouse iBAT, is critical for cold tolerance and brown adipocyte differentiation. Through its CPERS activity, Cars2 produces CysSSH/H2S to induce EBF2 persulfidation, promoting its interaction with PPARγ and BRG1 to enhance thermogenic gene expression.
Xin Peng +8 more
wiley +1 more source
Correction: Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder. [PDF]
Almas S +6 more
europepmc +1 more source
Smart Optogenetics for Real‐Time Automated Control of Cardiac Electrical Activity
We are able to stop dangerous heart‐rhythm spirals before they fully form. Within about 100 ms, it pinpoints the spiral's tiny central tip (≈0.9 mm) using light‐based sensing and machine learning, then shines targeted light to shut it down. This fast, precise, closed‐loop approach detects, targets, and terminates arrhythmias in real time.
Shanliang Deng +15 more
wiley +1 more source
BHFVAL: Block chain-Enabled Hierarchical Federated Variational Auto encoder Framework for Secure Intrusion Detection in Vehicular Networks. [PDF]
Visuvanathan GE, Sayeed MS, Yogarayan S.
europepmc +1 more source
RETRACTED ARTICLE: Utilizing variable auto encoder-based TDO optimization algorithm for predicting loneliness from electrocardiogram signals. [PDF]
Bharathi Vidhya R, Jerritta S.
europepmc +1 more source

