AIMC Topic: Precision Medicine
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Deep learning-based multimodal spatial transcriptomics analysis for cancer.
Advances in cancer research
Aug 22, 2024
The advent of deep learning (DL) and multimodal spatial transcriptomics (ST) has revolutionized cancer research, offering unprecedented insights into tumor biology. This book chapter explores the integration of DL with ST to advance cancer diagnostic...
Neurosurgery: AI-driven precision, robotics, and personalized care.
Neurosurgical review
Aug 21, 2024
Fast prediction of personalized abdominal organ doses from CT examinations by radiomics feature-based machine learning models.
Scientific reports
Aug 20, 2024
The X-rays emitted during CT scans can increase solid cancer risks by damaging DNA, with the risk tied to patient-specific organ doses. This study aims to establish a new method to predict patient specific abdominal organ doses from CT examinations u...
Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery.
Methodist DeBakey cardiovascular journal
Aug 20, 2024
Heart failure (HF) affects millions of individuals and causes hundreds of thousands of deaths each year in the United States. Despite the public health burden, medical and device therapies for HF significantly improve clinical outcomes and, in a subs...
A future of AI-driven personalized care for people with multiple sclerosis.
Frontiers in immunology
Aug 19, 2024
Multiple sclerosis (MS) is a devastating immune-mediated disorder of the central nervous system resulting in progressive disability accumulation. As there is no cure available yet for MS, the primary therapeutic objective is to reduce relapses and to...
Machine Learning Methods for Precision Dosing in Anticancer Drug Therapy: A Scoping Review.
Clinical pharmacokinetics
Aug 17, 2024
INTRODUCTION: In the last decade, various Machine Learning techniques have been proposed aiming to individualise the dose of anticancer drugs mostly based on a presumed drug effect or measured effect biomarkers. The aim of this scoping review was to ...
Innovation and challenges of artificial intelligence technology in personalized healthcare.
Scientific reports
Aug 16, 2024
As the burgeoning field of Artificial Intelligence (AI) continues to permeate the fabric of healthcare, particularly in the realms of patient surveillance and telemedicine, a transformative era beckons. This manuscript endeavors to unravel the intric...
The impact and future of artificial intelligence in medical genetics and molecular medicine: an ongoing revolution.
Functional & integrative genomics
Aug 16, 2024
Artificial intelligence (AI) platforms have emerged as pivotal tools in genetics and molecular medicine, as in many other fields. The growth in patient data, identification of new diseases and phenotypes, discovery of new intracellular pathways, avai...
The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review.
AAPS PharmSciTech
Aug 15, 2024
Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL) are gaining increased interest in many fields, particularly in pharmaceutical research and development, where they assist in decision-making in complex situations....
Enhancing targeted tumor treatment: A novel fuzzy logic framework for precision drug delivery strategy selection.
Computers in biology and medicine
Aug 14, 2024
OBJECTIVE: This study aims to address the challenge of selecting optimal drug delivery strategies for tumor patients by introducing a novel theoretical framework.
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