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Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Clinician sits behind a laptop. Above the laptop is the emblem of a shield, surrounded by blue crosses. A syringe is superimposed on the shield and the doctor is pressing the emblem with his finger. Denotes how AI is helping doctors select treatment for their patients.

Artificial Intelligence (AI) Model “SCORPIO” Uses Blood Test to Predict Immunotherapy Benefits

Thanks to a new AI model called “SCORPIO,” you may someday be able to use a simple blood test and routine clinical information to decide which patients will benefit from immunotherapy.

Target shows one medication capsule in the bull’s eye, with four more tablets in the outside rings of the target. Illustrates the difficulty in finding the precise medication for treating diseases like cancer.

Machine Learning Model “BATCHIE” Helps Discover Effective Drug Combinations

Screening for the best medication for your patient could be more efficient thanks to a new model called “BATCHIE.” See how machine learning is helping boost precision medicine for cancer.

Three dimensional rendering of a cancer tumor displaying the many different types of cells (signified by different colors and shapes) in the tumor cell microenvironment. The brightly colored cells are shown woven together into a ball, with additional cells orbiting the ball; red vasculature is shown both within the tumor and connecting to bloodstream.

Artificial Intelligence (AI) Model, “HistoTME,” Aids in Predicting Response to Immunotherapy

NCI researchers debuted a new deep learning model that could help you decipher the cancer tumor’s microenvironment. The model holds a lot of promise for predicting which patients are most likely to benefit from checkpoint inhibitors.

Person touching a hologram of data points with the word "AI" above

NCI Leaders Discuss Maximizing Data Utility

Here at NCI, how are we maximizing data utility? Two of our leaders comment on the ways we’re making data ready for use with artificial intelligence (AI), more valuable to the cancer research community, and more!

Doctor holds laptop showing a high-tech image of a prostate in red. Small icons are in the background showing all the ways that technology can help in improving healthcare. Those icons show medications, health care, diagnoses, treatment, genetics, and more.

Updated NCI Model Gains Greater Precision in Diagnosing Prostate Cancer

See how NCI researchers are working to find new ways of interpreting biopsies and managing prostate cancer. This recent model could lead to a more precise approach, reducing the need for additional and often unnecessary biopsies.

Person receiving radiation therapy treatment

Knowledge-based Planning (KBP) Models Show Improvement in Cancer Radiation Therapy Treatment

An NCI-funded study shows that KBP models can automate radiation therapy, thereby producing high-quality plans to improve cancer treatment efficiency and reduce human workload.

Tissue biopsy segmentation of a human lung. Blue and green shading shows different cell types and structures. Cell boundaries are outlined in white.

All-in-One Model Helps Identify, Classify, and Analyze Cancer Tumor Tissue

Interpreting tissue biopsies may be easier using this NCI-funded tool. It features an end-to-end approach for automatically analyzing cancer cells and tissues.

Abstract view of the Earth with the letters AI in the center and icons of people spread out across it.

Large Language Models Help Match Patients to Clinical Trials

Learn how NIH and NCI researchers developed TrialGPT, an artificial intelligence algorithm that could help clinicians connect patients to clinical trial opportunities more efficiently.

In the foreground, stacked red blood cells. In the background, numbers, letters, and mathematical equations.

Machine Learning Identifies Clonal Hematopoiesis Driver Mutations

Learn how researchers used machine learning models to identify the specific genetic mutations that trigger clonal hematopoiesis. In this condition, mutated hematopoietic stem cells multiply more rapidly, increasing the risk of blood cancers.

Double stranded DNA forms a question mark. Denotes the study of genetics for better understanding how cancer develops and progresses.

NCI-Funded Researchers Test Platform to Help Reveal Non-Coding Genes Involved in Cancer

NCI-funded researchers are testing a new platform that blends statistical and deep learning models, giving you a fuller picture of the variants driving cancer progression.

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