AIMC Topic: Precision Medicine
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Individualized Treatment Effect Prediction with Machine Learning - Salient Considerations.
NEJM evidence
Mar 26, 2024
BACKGROUND: Machine learning-based approaches that seek to accomplish individualized treatment effect prediction have gained traction; however, some salient challenges lack wider recognition.
Theranostics and artificial intelligence: new frontiers in personalized medicine.
Theranostics
Mar 25, 2024
The field of theranostics is rapidly advancing, driven by the goals of enhancing patient care. Recent breakthroughs in artificial intelligence (AI) and its innovative theranostic applications have marked a critical step forward in nuclear medicine, l...
Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine.
Expert opinion on drug metabolism & toxicology
Mar 20, 2024
INTRODUCTION: Pharmacokinetic parameters assessment is a critical aspect of drug discovery and development, yet challenges persist due to limited training data. Despite advancements in machine learning and in-silico predictions, scarcity of data hamp...
Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data.
Statistics in medicine
Mar 12, 2024
Identifying patients who benefit from a treatment is a key aspect of personalized medicine, which allows the development of individualized treatment rules (ITRs). Many machine learning methods have been proposed to create such rules. However, to what...
Development of a machine learning-based model for predicting individual responses to antihypertensive treatments.
Nutrition, metabolism, and cardiovascular diseases : NMCD
Mar 4, 2024
BACKGROUND AND AIMS: Personalized antihypertensive drug selection is essential for optimizing hypertension management. The study aimed to develop a machine learning (ML) model to predict individual blood pressure (BP) responses to different antihyper...
Towards precision medicine in breast imaging: A novel open mammography database with tailor-made 3D image retrieval for AI and teaching.
Computer methods and programs in biomedicine
Mar 3, 2024
This project addresses the global challenge of breast cancer, particularly in low-resource settings, by creating a pioneering mammography database. Breast cancer, identified by the World Health Organization as a leading cause of cancer death among wo...
Advances in AI and machine learning for predictive medicine.
Journal of human genetics
Feb 29, 2024
The field of omics, driven by advances in high-throughput sequencing, faces a data explosion. This abundance of data offers unprecedented opportunities for predictive modeling in precision medicine, but also presents formidable challenges in data ana...
Warfarin-A natural anticoagulant: A review of research trends for precision medication.
Phytomedicine : international journal of phytotherapy and phytopharmacology
Feb 23, 2024
BACKGROUND: Warfarin is a widely prescribed anticoagulant in the clinic. It has a more considerable individual variability, and many factors affect its variability. Mathematical models can quantify the quantitative impact of these factors on individu...
Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data.
Diabetologia
Feb 14, 2024
The type 1 diabetes community is coalescing around the benefits and advantages of early screening for disease risk. To be accepted by healthcare providers, regulatory authorities and payers, screening programmes need to show that the testing variable...
Personalized Drug Therapy: Innovative Concept Guided With Proteoformics.
Molecular & cellular proteomics : MCP
Feb 13, 2024
Personalized medicine can reduce adverse effects, enhance drug efficacy, and optimize treatment outcomes, which represents the essence of personalized medicine in the pharmacy field. Protein drugs are crucial in the field of personalized drug therapy...
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