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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.

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Submit Proposals by October 3 for the “Smart Health and Biomedical Research” Initiative

NIH and the National Science Foundation are participating in an interagency funding opportunity that seeks to address technological and data science challenges, which require fundamental research and development of new tools, workflows, and methods. Proposals are due October 3, at 5:00 p.m. (submitter’s local time).

Abstract illustration showing breast cancer and how it might spread to nearby lymph nodes.

Machine Learning Blends Imaging and Clinical Data to Refine Breast Cancer Care

A new machine learning model blends image data with clinical and pathological information to tailor care for patients with breast cancer.

An image above the keyboard shows a pattern of interconnected wires with the letters "AI" in the middle, designating artificial intelligence. The image shows how doctors may someday interact with AI to provide patient care.

Survey Reveals Oncologists’ Views on Using Artificial Intelligence (AI) for Cancer Care

Are you ready to introduce AI into your practice? NCI-funded researchers recently conducted a survey to help shed light on how oncologists feel about using AI in cancer care.

Blue network background with text that reads "we're hiring"

CBIIT’s Hiring—Apply Today to be a Clinical Research Informatics Leader

Are you skilled in conceptualizing, developing, and managing projects in clinical research informatics? Apply today to work as a clinical research informatics specialist at NCI’s CBIIT.

laptop that shows charts, pie graphs, and line graphcs

Get Your Data Science Research Funded Through NCI DCCPS

Do you conduct research on statistical and analytical methods, cancer survivorship, digital health, and/or data science tools and methods? Apply for an R01 grant from NCI’s Division of Cancer Control and Population Sciences by June 5 or October 5, 2024.

A circle contains a syringe, a pill bottle, and a strand of DNA—illustrates how researchers are using genetics to find new and better ways of treating cancer.

Machine Learning Models Help Predict Medication Responses

What if you could predict how a chemotherapy drug would work—in terms of sensitivity and side-effects—before you ever use it? NCI-funded researchers are using machine learning models to better understand a key mechanism underlying cancer, giving us new ways to predict responses to common chemotherapy drugs.

Scientists hand holds an illustrated set of lungs. The lungs are illuminated and include bright pinpoints of light. Illustrates the idea of using AI to better understand lung disease.

Model Uses Blood Proteins to Predict Lung Cancer Risk

A new algorithm is showing promising results in predicting lung cancer. See how proteins in your blood may someday help determine your risk for lung cancer.

two stylized people from the chest up next to each other. One is filled with interconnected data points, the other is a flat peach tone. Behind them is an infinity symbol.

Funding Available to Support Development of Digital Twins in Radiation Oncology

Do you work with digital twin data models? If so, consider applying by March 21, 2024, for research funding!

A tissue cell neighborhood shows four groups of cells, featuring different cell types, including immune cells and tumor cells. Lines connect the cells and cell groups, showing how cells interact, both with their closest neighbors and with cell groups that are farther away.

Algorithm Shines Light on Cancer Cell Neighborhoods

The ways that cells interact with neighboring cells and their environments can either regulate or promote how tumors grow and spread. See how a new tool is helping us better understand these important “neighborhood” interactions.

Artists conceptualization of a digital twin. Shows the mirrored image of two heads. The only difference is one head is filled in with dots whereas the second head has spaces missing.

New Report Spotlights Research Gaps and Future Directions for Digital Twins

Interested in digital twin technology? Read this report for a “reality check” on what is currently known about the technology and what’s still missing.

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