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
MFPD: A Multiple Fungal Pathogen Detection Pipeline Across Diverse Habitats
The MFPD pipeline integrates a comprehensive ITS reference database of fungal pathogens, optimized parameters, and algorithms tailored for both full‐length and subregion sequences that balance accuracy and computational efficiency; it enables high‐throughput, species‐level identification from amplicon sequencing data, supporting large‐scale ...
Yi Shen +13 more
wiley +1 more source
Emergence of Marburg virus disease in Ethiopia: Implications for public health preparedness and its impact on Ethiopia's health system. [PDF]
Biadgilign S +3 more
europepmc +1 more source
This study identifies SNRPF as a critical oncogenic driver in ovarian cancer. By regulating a self‐sustaining SNRPF–DDX24–E2F4 feedback loop through intron retention and nonsense‐mediated decay, SNRPF couples RNA splicing with transcriptional regulation to promote tumor progression.
Yingwei Li +4 more
wiley +1 more source
Navigating evidence-informed decision making for arboviral disease control in Pacific Island countries. [PDF]
Ratu A, Anders KL, Leder K.
europepmc +1 more source
An implantable hydrogel is designed to hold gene transfection agents engineered to turn early recurrent tumor cells into generators of synthetic EVs. These synthetic EVs can express engineered miR‐26a (E‐miR‐26a) for highly sensitive detection and PD‐1 (a PD‐L1‐blocking agent) for therapeutic intervention, thereby enabling early detection and ...
Junli Zhang +7 more
wiley +1 more source
Toward Biology-Driven Surveillance After Endometrial Cancer Treatment: A Molecular-Clinical Framework Integrating Recurrence Phenotype. [PDF]
Szatkowski W, Glanowska-Nawrat I.
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Community-level Monitoring of Antimicrobial Resistance following Mass Administration of Azithromycin to Reduce Child Mortality in Côte d'Ivoire: Results from Two Rounds of Surveillance. [PDF]
Dulli L +9 more
europepmc +1 more source

