AIMC Topic: Medical Oncology

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Barriers and facilitators to implementing the living guideline development framework in oncology: a mixed methods study.

BMJ open
OBJECTIVE: To explore stakeholder experiences with implementing the living guideline (LG) development framework in oncology, and to identify barriers, facilitators and solutions to support its uptake and sustainability. DESIGN: An exploratory sequent...

Neoantigen-driven cancer vaccines in personalized oncology: progress, obstacles, and translational prospects.

Molecular biology reports
The development of neoantigen-based cancer vaccines has emerged as a groundbreaking approach in the field of personalized oncology. Neoantigens, originating from tumor-specific somatic mutations, possess considerable immunogenic potential and are abs...

Research Priorities and Future Directions in Cardio-Oncology.

Current treatment options in oncology
The subspecialty of cardio-oncology has undergone significant growth in recent years, alongside major advances in the management of both cardiovascular disease and cancer, the leading causes of morbidity and mortality in the United States and many co...

Artificial intelligence for early palliative referral in adult oncology: opportunities, challenges and future directions.

BMJ supportive & palliative care
BACKGROUND: In oncology, early palliative care enhances quality of life and may increase survival; yet, because of resource limitations and overestimation of prognosis, referrals frequently happen late. Due to a shortage of specialised workers, this ...

Enhancing clinicians' trust in large language models via transparent source attribution: A randomized controlled evaluation in uro-oncology.

European journal of cancer (Oxford, England : 1990)
INTRODUCTION: Large language models (LLMs) are utilized to answer queries in urology and oncology, yet the performance is limited due to outdated data and missing source transparency, which undermines clinical reliability and therefore adoption. MATE...

Enabling whole genome sequencing analysis from FFPE specimens in clinical oncology.

Nature communications
The adoption of whole genome sequencing (WGS) in clinical oncology is challenged by low data quality and increased artifacts in standard-of-care formalin-fixed paraffin-embedded (FFPE) samples. Analysis of 56 fresh frozen (FF) and FFPE matched pairs ...

[The role of artificial intelligence in the design and feasibility of early-phase oncology clinical trials].

Orvosi hetilap
Oncology clinical trials play a pivotal role in the development of new therapeutic options; however, their implementation remains an extremely costly and time-consuming process. Artificial intelligence can open new horizons in the design and conduct ...

Multi-omics strategies for biomarker discovery and application in personalized oncology.

Molecular biomedicine
Multi-omics strategies, integrating genomics, transcriptomics, proteomics, and metabolomics, have revolutionized biomarker discovery and enabled novel applications in personalized oncology. Despite rapid technological developments, a comprehensive sy...

AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions.

Clinical and experimental medicine
Cancer's staggering molecular heterogeneity demands innovative approaches beyond traditional single-omics methods. The integration of multi-omics data, spanning genomics, transcriptomics, proteomics, metabolomics and radiomics, can improve diagnostic...