AIMC Topic: Neoplasms

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Artificial Intelligence Can Predict Personalized Immunotherapy Outcomes in Cancer.

Cancer immunology research
The rapid advancement of artificial intelligence (AI) technologies has opened new avenues for advancing personalized immunotherapy in cancer treatment. This review highlights current research progress in applying AI to optimize the use of immunothera...

Cells Keep Diverse Company in Diseased Tissues.

Cancer research
Emerging spatial profiling technologies have revolutionized our understanding of how tissue architecture shapes disease progression, yet the contribution of cellular diversity remains underexplored. In this issue, Ding and colleagues introduce multio...

Illuminating the Noncoding Genome in Cancer Using Artificial Intelligence.

Cancer research
Understanding the vast noncoding cancer genome requires cutting-edge, high-resolution, and accessible strategies. Artificial intelligence is revolutionizing cancer research, enabling advanced models to analyze genome regulation. This review examines ...

Leveraging Artificial Intelligence for Neoantigen Prediction.

Cancer research
Neoantigens represent a class of antigens within tumor microenvironments that arise from diverse somatic mutations and aberrations specific to tumorigenesis, holding substantial promise for advancing tumor immunotherapy. However, only a subset of neo...

AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research.

Bioinformatics (Oxford, England)
MOTIVATION: The growing complexity of clinical cancer research has fueled a surge in demand for automated bioinformatics tools capable of integrating clinical and genomic data to accelerate discovery efforts.

Comparative Analysis of Large Language Models for Answering Cancer-Related Questions in Korean.

Yonsei medical journal
PURPOSE: Large language models (LLMs) have shown potential in medicine, transforming patient education, clinical decision support, and medical research. However, the effectiveness of LLMs in providing accurate medical information, particularly in non...

Augmentation of Infrared Microscopy of White Blood Cells and Medical Measures for Rapid and Accurate Diagnosis of Bacterial or Viral Infections in Febrile Pediatric Oncology Patients: An Expert System-Based Study.

Analytical chemistry
Infectious diseases, a major contributor to high mortality rates, often exhibit similar symptoms, despite variations in immune responses to bacterial or viral infections. Rapidly differentiating bacterial infections from viral infections in febrile p...

Current landscape and emerging opportunities for using telecytology for rapid on-site assessment in cytopathology.

Cancer cytopathology
In recent years, cytopathology practices increasingly are considering the adoption of digital modalities to support remote rapid on-site evaluation (ROSE) of fine-needle aspiration biopsies. Currently, various digital options are available, each of w...

Integrating multi-omics data with artificial intelligence to decipher the role of tumor-infiltrating lymphocytes in tumor immunotherapy.

Pathology, research and practice
Tumor-infiltrating lymphocytes (TILs) are capable of recognizing tumor antigens, impacting tumor prognosis, predicting the efficacy of neoadjuvant therapies, contributing to the development of new cell-based immunotherapies, studying the tumor immune...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Ageing research reviews
Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging-related pathologies. Accumulation of senescent cells promotes chronic inflammation, tissue dysfunction, age-related diseases, and tumor suppression. ...