The times they are AI-changing: AI-powered advances in the application of extracellular vesicles to liquid biopsy in breast cancer

Extracellular Vesicles and Circulating Nucleic Acids, Journal Year: 2025, Volume and Issue: 6(1), P. 128 - 40

Published: Feb. 28, 2025

Artificial intelligence (AI) is revolutionizing scientific research by facilitating a paradigm shift in data analysis and discovery. This transformation characterized fundamental change methods concepts due to AI’s ability process vast datasets with unprecedented speed accuracy. In breast cancer research, AI aids early detection, prognosis, personalized treatment strategies. Liquid biopsy, noninvasive tool for detecting circulating tumor traits, could ideally benefit from analytical capabilities, enhancing the detection of minimal residual disease improving monitoring. Extracellular vesicles (EVs), which are key elements cell communication progression, be analyzed identify disease-specific biomarkers. combined EV promises an enhancement diagnosis precision, aiding Studies show that can differentiate types predict drug efficacy, exemplifying its potential medicine. Overall, integration biomedical clinical practice significant changes advancements diagnostics, medicine-based approaches, our understanding complex diseases like cancer.

Language: Английский

Exploring deep learning in phage discovery and characterization

Virology, Journal Year: 2025, Volume and Issue: unknown, P. 110559 - 110559

Published: April 1, 2025

Language: Английский

Artificial intelligence in lung cancer: current applications, future perspectives, and challenges

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: Dec. 23, 2024

Artificial intelligence (AI) has significantly impacted various fields, including oncology. This comprehensive review examines the current applications and future prospects of AI in lung cancer research treatment. We critically analyze latest technologies their across multiple domains, genomics, transcriptomics, proteomics, metabolomics, immunomics, microbiomics, radiomics, pathomics research. The elucidates AI’s transformative role enhancing early detection, personalizing treatment strategies, accelerating therapeutic innovations. explore impact on precision medicine cancer, encompassing diagnosis, planning, monitoring, drug discovery. potential analyzing complex datasets, genetic profiles, imaging data, clinical records, is discussed, highlighting its capacity to provide more accurate diagnoses tailored plans. Additionally, we examine predicting patient responses immunotherapy forecasting survival rates, particularly non-small cell (NSCLC). addresses technical challenges facing implementation care, data quality quantity issues, model interpretability, ethical considerations, while discussing solutions emphasizing importance rigorous validation. By providing a analysis for researchers clinicians, this underscores indispensable combating usher new era medical breakthroughs, ultimately aiming improve outcomes life.

Language: Английский