FDA General

Machine Learning to Predict Remission Between Six and 24 Months in Rheumatoid Arthritis: Insights from the JAK-pot Collaboration.

OBJECTIVE: To develop, externally validate, and simplify a machine-learning (ML) model to predict remission between six and 24 months in rheumatoid arthritis (RA) patients initiating TNF inhibitors, JAK inhibitors, IL-6 inhibitors, abatacept, or rituximab, using data from 11 international registries in the JAK-pot collaboration. METHODS: We analyzed 21,675 treatment courses for model training, 541...

Genome diagnostics: a pillar of twenty-first century healthcare and precision medicine.

Genomic diagnostics is revolutionizing disease management and forms the cornerstone of precision medicine. This review details the multi-stage operational process of genomic testing, encompassing patient counseling, sample logistics, high-throughput sequencing, bioinformatics pipelines, and clinical interpretation. We examine stringent global regulatory frameworks, including the U.S. FDA, European...

Towards a physics informed digital twin to predict cerebral blood flow and cerebral vascular regulation.

Cerebral blood flow is essential for brain function and is governed by cerebral perfusion pressure and physiological mechanisms collectively referred ...

The power of context: Enhancing repetitive transcranial magnetic stimulation effects through skillful behavior.

INTRODUCTION: Non-invasive neuromodulation techniques like repetitive transcranial magnetic stimulation (rTMS) have shown promise in treating psychopa...

Screening and classification of anti-angiogenic VEGFR2 inhibitors with supervised machine learning, deep learning and molecular docking and molecular dynamics simulation.

Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) is a critical therapeutic target in cancer due to its role in pathological angiogenesis and tum...

Focused Ultrasound-activated Extracellular Vesicles-nanoparticle Hybrids for Targeted Brain Drug Delivery: Engineering Strategies and Translational Outlook.

A revolutionary method for targeted neurotherapeutics is focused ultrasound (FUS)-mediated blood-brain barrier (BBB) regulation. In order to enable co...

Advancing cardiovascular disease diagnosis with an interpretable and responsible AI framework.

Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five deaths worldwide. Early detection is critical to miti...

Paradigm shift in medicine and in clinical reasoning method: time has come for a new chest semiotics.

INTRODUCTION: Clinical reasoning in medicine is a complex cognitive process that integrates sensory perception, interpretation, and abductive inferenc...

Current Patient Attitudes to Artificial Intelligence Applications in Radiology.

OBJECTIVES: Healthcare systems are now funding implementation of artificial intelligence (AI) algorithms in radiology, which will change the experienc...

Use of ambient AI scribe in physicians' clinical documentation: a protocol for a systematic review on effectiveness, efficiency, and satisfaction.

INTRODUCTION: Clinical documentation is a significant driver of burnout among physicians. Ambient artificial intelligence (AI) scribes, which leverage...

Long-term prognostic implications of AI-detected versus AI-undetected breast cancers on mammography: a propensity score-matched analysis.

OBJECTIVES: To evaluate the association between the cancer detectability by artificial intelligence (AI) and long-term survival outcomes in invasive b...

Polymer Drug Conjugate: A Revolution in Drug Delivery.

Polymer-drug conjugates (PDCs) represent a remarkable advancement in modern medicine, leveraging the physicochemical properties of polymers to enhance...

The prediction and impact of self-criticism on non-suicidal self-injury in adolescents: A study based on machine learning.

This study uniquely combines machine learning with structural equation modeling to investigate how self-criticism affects non-suicidal self-injury (NS...

Risk-Stratified Biologic Efficacy in Ulcerative Colitis: A Multicenter Machine Learning Study.

BACKGROUND: Ulcerative colitis (UC) exhibits a heterogeneous clinical course, complicating prognostication and therapeutic decision making. Current to...

Bringing AI to Cancer's Regulatory Genome.

A new AI model that predicts how noncoding DNA mutations alter gene regulation is helping cancer researchers identify which genetic changes drive tumo...

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Levera...

Has AI Reshaped Drug Discovery, or Is There Still a Long Way to Go?

The conventional drug discovery pipeline is labour-intensive, time-consuming, and costly, involving target identification, hit discovery, lead optimiz...

Multi-Omics and Machine Learning-Driven Discovery of ABCC8 (SUR1) for Diabetes Mellitus: Integrating Molecular Insights on Nigella sativa Bioactives and Sulfonylurea.

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia and pancreatic β-cell dysfunction. The ATP-sensitive potassium KATP c...

Blueprint for Drug Repurposing Success: Foundational Concepts and Practical Framework.

Drug repurposing involves identifying new therapeutic applications for existing clinically evaluated compounds. In contrast to conventional drug devel...

Quantitative and qualitative motion analysis for early detection of joint damage in haemophilia patients: study protocol for a pilot feasibility study at a German haemophilia treatment centre.

INTRODUCTION: Joint bleeds are the most significant complication in haemophilia, leading to functional impairment and reduced quality of life. Repeate...