AIMC Topic: Precision Medicine
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BACK-to-MOVE: Machine learning and computer vision model automating clinical classification of non-specific low back pain for personalised management.
PloS one
May 10, 2024
BACKGROUND: Low back pain (LBP) is a major global disability contributor with profound health and socio-economic implications. The predominant form is non-specific LBP (NSLBP), lacking treatable pathology. Active physical interventions tailored to in...
A machine learning personalized treatment rule to optimize assignment to psychotherapies for grief among veterans.
Journal of affective disorders
May 7, 2024
BACKGROUND: Complex grief patterns are associated with significant suffering, functional impairments, health and mental health problems, and increased healthcare use. This burden may be even more pronounced among veterans. Behavioral Activation and T...
Model-Informed Precision Dosing Using Machine Learning for Levothyroxine in General Practice: Development, Validation and Clinical Simulation Trial.
Clinical pharmacology and therapeutics
May 6, 2024
Levothyroxine is one of the most prescribed drugs in the western world. Dosing is challenging due to high-interindividual differences in effective dosage and the narrow therapeutic window. Model-informed precision dosing (MIPD) using machine learning...
Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?
Critical care explorations
May 6, 2024
Large randomized trials in sepsis have generally failed to find effective novel treatments. This is increasingly attributed to patient heterogeneity, including heterogeneous cardiovascular changes in septic shock. We discuss the potential for machine...
Learning with an evolving medicine label: how artificial intelligence-based medication recommendation systems must adapt to changing medication labels.
Expert opinion on drug safety
May 6, 2024
INTRODUCTION: Artificial intelligence or machine learning (AI/ML) based systems can help personalize prescribing decisions for individual patients. The recommendations of these clinical decision support systems must relate to the "label" of the medic...
Determining individual suitability for neoadjuvant systemic therapy in breast cancer patients through deep learning.
Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Apr 28, 2024
BACKGROUND: The survival advantage of neoadjuvant systemic therapy (NST) for breast cancer patients remains controversial, especially when considering the heterogeneous characteristics of individual patients.
Personalised prediction of maintenance dialysis initiation in patients with chronic kidney disease stages 3-5: a multicentre study using the machine learning approach.
BMJ health & care informatics
Apr 27, 2024
BACKGROUND: Optimal timing for initiating maintenance dialysis in patients with chronic kidney disease (CKD) stages 3-5 is challenging. This study aimed to develop and validate a machine learning (ML) model for early personalised prediction of mainte...
An individualized protein-based prognostic model to stratify pediatric patients with papillary thyroid carcinoma.
Nature communications
Apr 26, 2024
Pediatric papillary thyroid carcinomas (PPTCs) exhibit high inter-tumor heterogeneity and currently lack widely adopted recurrence risk stratification criteria. Hence, we propose a machine learning-based objective method to individually predict their...
Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects.
International journal of medical informatics
Apr 23, 2024
BACKGROUND: Radiomics is a rapidly growing field used to leverage medical radiological images by extracting quantitative features. These are supposed to characterize a patient's phenotype, and when combined with artificial intelligence techniques, to...
Precision medicine in colorectal cancer: Leveraging multi-omics, spatial omics, and artificial intelligence.
Clinica chimica acta; international journal of clinical chemistry
Apr 23, 2024
Colorectal cancer (CRC) is a leading cause of cancer-related deaths. Recent advancements in genomic technologies and analytical approaches have revolutionized CRC research, enabling precision medicine. This review highlights the integration of multi-...
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