Latest AI and machine learning research in chemotherapy for healthcare professionals.
Non-adherence to medications is a critical concern since nearly half of patients with chronic illn...
Artificial intelligence (AI) and the introduction of Large Language Model (LLM) chatbots have become...
This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by...
Ermiao San (EMS), a traditional Chinese medicine composed of Atractylodes macrocephala and Cortex ...
Motivation: An adjuvant is a chemical incorporated into vaccines that enhances their efficacy by i...
Neoadjuvant chemotherapy (NAC) has become a standard clinical practice for tumor downsizing in bre...
Heat-based cancer treatment, so-called hyperthermia, can be used to destroy tumour cells directly ...
Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...
Rationale and Objectives: Early prediction of pathological complete response (pCR) can facilitate ...
This study explores a data-driven approach to discovering novel clinical and genetic markers in ov...
PURPOSE: Necrosis quantification in the neoadjuvant setting using pathology slide review is the most...
To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma...
The contextual bandit problem, where agents arrive sequentially with personal contexts and the sys...
This study explores how causal inference models, specifically the Linear Non-Gaussian Acyclic Mode...
The tumor microenvironment (TME) is a complex ecosystem of diverse cell types whose interactions gov...
Transformer-based single-cell foundation models often rely on ranked-gene (RG) sequences where genes...
The overuse of antibiotics in both veterinary and human medicine has resulted in the emergence of an...
Cell viability assays are essential tools in biomedical research and drug development. Artificial in...
Drug discovery is being transformed by artificial intelligence, which enables the exploration of vas...
Advancements in transmission electron microscopy (TEM) have enabled in-depth studies of biological s...
Identifying image features that associate strongly with diagnostic or prognostic classes in large-sc...