[HTML][HTML] Clinical trials and clinical research: a comprehensive review

V Kandi, S Vadakedath - Cureus, 2023 - ncbi.nlm.nih.gov
Clinical research is an alternative terminology used to describe medical research. Clinical
research involves people, and it is generally carried out to evaluate the efficacy of a …

The Future Glioblastoma Clinical Trials Landscape: Early Phase 0, Window of Opportunity, and Adaptive Phase I–III Studies

NS Cho, WK Wong, PL Nghiemphu… - Current Oncology …, 2023 - Springer
Abstract Purpose of Review Innovative clinical trial designs for glioblastoma (GBM) are
needed to expedite drug discovery. Phase 0, window of opportunity, and adaptive designs …

Multi-disciplinary fairness considerations in machine learning for clinical trials

I Chien, N Deliu, R Turner, A Weller, S Villar… - Proceedings of the …, 2022 - dl.acm.org
While interest in the application of machine learning to improve healthcare has grown
tremendously in recent years, a number of barriers prevent deployment in medical practice …

Pediatric and Congenital Cardiovascular Disease Research Challenges and Opportunities: JACC Review Topic of the Week

AR Opotowsky, KY Allen, EM Bucholz, KM Burns… - Journal of the American …, 2022 - jacc.org
Abstract The National Heart, Lung, and Blood Institute convened a workshop in August 2021
to identify opportunities in pediatric and congenital cardiovascular research that would …

A systematic review of randomised controlled trials with adaptive and traditional group sequential designs–applications in cardiovascular clinical trials

J Zhang, C Saju - BMC Medical Research Methodology, 2023 - Springer
Background Trial design plays a key role in clinical trials. Traditional group sequential
design has been used in cardiovascular clinical trials over decades as the trials can …

Enhancing Disease Diagnosis: Leveraging Machine Learning Algorithms for Healthcare Data Analysis

M Ramteke, S Raut - IETE Journal of Research, 2024 - Taylor & Francis
Healthcare data analysis has emerged as one of the most promising fields of study in recent
years. There are different types of data in the healthcare industry, such as medical test …

[HTML][HTML] Digital Technologies Impact on Healthcare Delivery: A Systematic Review of Artificial Intelligence (AI) and Machine-Learning (ML) Adoption, Challenges, and …

IA Okwor, G Hitch, S Hakkim, S Akbar, D Sookhoo… - AI, 2024 - mdpi.com
Recent significant advances in the healthcare industry due to artificial intelligence (AI) and
machine learning (ML) have been shown to revolutionize healthcare delivery by improving …

Development of a conceptual framework for defining trial efficiency

CX Xie, A De Simoni, S Eldridge, H Pinnock, C Relton - Plos one, 2024 - journals.plos.org
Background Globally, there is a growing focus on efficient trials, yet numerous
interpretations have emerged, suggesting a significant heterogeneity in understanding …

[HTML][HTML] An Overview of Adaptive Designs and Some of Their Challenges, Benefits, and Innovative Applications

H Zhu, WK Wong - Journal of medical Internet research, 2023 - jmir.org
Adaptive designs are increasingly developed and used to improve all phases of clinical
trials and in biomedical studies in various ways to address different statistical issues. We first …

[HTML][HTML] From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care

M Tanaka - Biomedicines, 2025 - pmc.ncbi.nlm.nih.gov
Background/Objectives: The dual forces of structured inquiry and serendipitous discovery
have long shaped neuropsychiatric research, with groundbreaking treatments such as …