News

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

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.

Doctor looks at an image on a screen showing the letters "AI," along with chemical structures, charts, and graphs. Illustrates the blending of biomedical science with technology.

NCI Study Examines Artificial Intelligence (AI) Versus Radiologists in Assessing Tumors

Wondering how to use AI for radiology? In a new study, NCI researchers found that AI may work best as an adjunct to the radiologist rather than a standalone solution, allowing radiologists to focus on cases that need more critical assessment.

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.

Image of a biopsy showing prostate cancer. Cancerous cells appear as solid sheets of purple, with irregular patterns and arrangements.

NCI-Funded Researchers Develop Transformer Model to Decipher Whole Slide Images

NCI-funded researchers developed a new model called “SEQUOIA” that’s helping capture detailed data from whole slide images. See how this technology could someday be the solution to better biopsies.

Light-colored immune cells surround and infiltrate brightly colored orange cancer cells. This denotes the concept of immunotherapy.

NCI-Funded Tool Helps to Advance Neoantigen Therapies

Whether you’re researching a neoantigen, or looking to identify new therapeutic candidates, there’s a new NCI-funded tool, called “pVACview,” that may be able to help.

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.

X-Ray scan of a human displaying a tumor in the brain

New Insight on Cancer Development and Treatment Resistance from HTAN Publications

Read this recently released collection of 13 studies to learn more about NCI’s Human Tumor Atlas Network (HTAN). You’ll gain insights into tumor development, progression, and treatment responses through advanced research methodologies and 3D tumor atlases.

Spyglass hovers over a strand of double helix strand of DNA.

NCI-Funded Algorithm Helps Track Down Coding and Non-Coding Cancer-Causing Genes

Are you investigating structural variations underlying cancer-causing genes? NCI-funded researchers are testing a new algorithm that could help you track down both coding and non-coding cancer-causing genes.

Silhouette of a dog and little girl sitting in the grass and facing one another.

Machine Learning Reveals Shared Traits of Osteosarcomas in Pet Dogs and Humans

Looking for new data sources for your machine learning model? NCI researchers combined data from dogs and people to identify risk factors for osteosarcoma.

SUBSCRIBE TO UPDATES

Categories

Archive