AIMC Topic: Medical Oncology

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Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction.

Seminars in cancer biology
Cancer immunotherapy is a method of controlling and eliminating tumors by reactivating the body's cancer-immunity cycle and restoring its antitumor immune response. The increased availability of data, combined with advancements in high-performance co...

Artificial intelligence and digital biomarker in precision pathology guiding immune therapy selection and precision oncology.

Cancer reports (Hoboken, N.J.)
BACKGROUND: The currently available immunotherapies already changed the strategy how many cancers are treated from first to last line. Understanding even the most complex heterogeneity in tumor tissue and mapping the spatial cartography of the tumor ...

Machine learning approaches to predict drug efficacy and toxicity in oncology.

Cell reports methods
In recent years, there has been a surge of interest in using machine learning algorithms (MLAs) in oncology, particularly for biomedical applications such as drug discovery, drug repurposing, diagnostics, clinical trial design, and pharmaceutical pro...

Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology.

Seminars in cancer biology
Personalized treatment strategies for cancer frequently rely on the detection of genetic alterations which are determined by molecular biology assays. Historically, these processes typically required single-gene sequencing, next-generation sequencing...

The Use of Artificial Intelligence in Clinical Care: A Values-Based Guide for Shared Decision Making.

Current oncology (Toronto, Ont.)
Clinical applications of artificial intelligence (AI) in healthcare, including in the field of oncology, have the potential to advance diagnosis and treatment. The literature suggests that patient values should be considered in decision making when u...

Predicting the Survival of Patients With Cancer From Their Initial Oncology Consultation Document Using Natural Language Processing.

JAMA network open
IMPORTANCE: Predicting short- and long-term survival of patients with cancer may improve their care. Prior predictive models either use data with limited availability or predict the outcome of only 1 type of cancer.

Artificial Intelligence for Radiotherapy Auto-Contouring: Current Use, Perceptions of and Barriers to Implementation.

Clinical oncology (Royal College of Radiologists (Great Britain))
AIMS: Artificial intelligence has the potential to transform the radiotherapy workflow, resulting in improved quality, safety, accuracy and timeliness of radiotherapy delivery. Several commercially available artificial intelligence-based auto-contour...

Applications of Artificial Intelligence in Urological Oncology Imaging: More Data Are Needed.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

Artificial Intelligence and Advanced Melanoma: Treatment Management Implications.

Cells
Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplify...