The integration of mobile health (mHealth) technologies into decentralized clinical trials (DCTs) may represent a paradigm shift in oncology research, offering innovative solutions to longstanding challenges in clinical trial design and execution. mH...
Immuno-oncology and the advent of immunotherapies, in particular immune checkpoint inhibitors (ICIs), have fundamentally altered the way we treat cancer. Yet only a small subset of patients actually responds to ICIs, and many face significant adverse...
A global technological race is underway to develop increasingly powerful and precise quantum computers. As a transformative computing paradigm, quantum computing offers the potential for exponentially accelerating specific algorithms, thereby providi...
BACKGROUND: Integrating artificial intelligence (AI), especially large language models (LLM) into oncology has potential benefits, yet medical oncologists' knowledge, attitudes, and ethical concerns remain unclear. Understanding these perspectives is...
The growing cancer burden and suboptimal diagnostic capacity in low- and middle-income countries calls for urgent innovation in diagnostic solutions. Point-of-care technologies (POCTs) offer a transformative approach to decentralizing cancer diagnost...
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
May 29, 2025
The integration and utilization of digital media, gamified learning strategies, and artificial intelligence (AI) are fundamentally transforming the landscape of oncology education and learning. These technologies collectively enhance knowledge dissem...
BACKGROUND: Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools.
Artificial intelligence (AI) is increasingly being applied to clinical cancer research, driving precision oncology objectives by gathering clinical data at scales that were not previously possible. Although small, domain-specific models have been use...
BACKGROUND: Artificial intelligence (AI) is increasingly being explored for its potential role in medical diagnostics. ChatGPT-4, a large language model (LLM) with image analysis capabilities, may assist in histopathological interpretation, but its a...
Annals of oncology : official journal of the European Society for Medical Oncology
Apr 29, 2025
BACKGROUND: Artificial intelligence (AI) is rapidly transforming the fields of pathology and oncology, offering novel opportunities for advancing diagnosis, prognosis, and treatment of cancer.
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