Leal Health announces next-gen AI patient support platform to enable cancer treatment navigation

Patient navigation benefits health systems, improves care
Initial data presented at the White House come a year after CMS payment began

One year after the Centers for Medicare & Medicaid Services made the decision to pay for patient navigation services, data from early adopters show that navigation services are leading to better outcomes, significant cost savings for healthcare systems, and mitigation of health inequities.

Argonne National Laboratory receives $22M from ARPA-H to accelerate cancer therapy, vaccine discoveries using AI

The U.S. Department of Energy’s Argonne National Laboratory will use its world-leading capabilities in artificial intelligence and high-performance computing to research novel ways to fight cancer and advance vaccine discovery.

November 22, 2024

Vol.50 No.44

Clinical Roundup

Model created by Cedars-Sinai investigators could speed patient selection for clinical trials

A group of investigators led by Cedars-Sinai have developed and successfully tested a new artificial intelligence method to make launching cancer clinical trials easier and faster. The method uses patients’ pathology reports to automate the classification of patients by the severity of their cancers, potentially shortening the process of selecting candidates for clinical trials.

November 22, 2024

Vol.50 No.44

Regulatory News

Ready or not, AI-based decision support tools are entering oncology clinics
Regulators and health systems must adapt

Urologic oncologist Wayne Brisbane thought his patient might be a good candidate for focal therapy.

November 15, 2024

Vol.50 No.43

By McKenzie Prillaman

In Brief

J. Leonard Lichtenfeld joins SpotitEarly as CMO

J. Leonard Lichtenfeld joined SpotitEarly, an Israel-based technology company transforming cancer screening by harnessing the power of artificial intelligence and dogs to detect cancer early, as chief medical officer.

November 15, 2024

Vol.50 No.43

Clinical Roundup

AI may be more accurate vs. traditional methods at classifying patients into prostate cancer risk groups

For localized prostate cancer, multimodal artificial intelligence models have revealed a more accurate way to assess prostate cancer risk. By combining advanced artificial intelligence with digital pathology images and clinical data, researchers developed a way to approach risk classification that outperforms traditional methods. These findings were published in JCO Precision Oncology. The research found that...

November 08, 2024

Vol.50 No.42

Leal Health announces next-gen AI patient support platform to enable cancer treatment navigation

YOU MAY BE INTERESTED IN

Patient navigation benefits health systems, improves care
Initial data presented at the White House come a year after CMS payment began

Argonne National Laboratory receives $22M from ARPA-H to accelerate cancer therapy, vaccine discoveries using AI

Model created by Cedars-Sinai investigators could speed patient selection for clinical trials

Ready or not, AI-based decision support tools are entering oncology clinics
Regulators and health systems must adapt

J. Leonard Lichtenfeld joins SpotitEarly as CMO

AI may be more accurate vs. traditional methods at classifying patients into prostate cancer risk groups

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Leal Health announces next-gen AI patient support platform to enable cancer treatment navigation

YOU MAY BE INTERESTED IN

Patient navigation benefits health systems, improves careInitial data presented at the White House come a year after CMS payment began

Argonne National Laboratory receives $22M from ARPA-H to accelerate cancer therapy, vaccine discoveries using AI

Model created by Cedars-Sinai investigators could speed patient selection for clinical trials

Ready or not, AI-based decision support tools are entering oncology clinicsRegulators and health systems must adapt

J. Leonard Lichtenfeld joins SpotitEarly as CMO

AI may be more accurate vs. traditional methods at classifying patients into prostate cancer risk groups

Never miss an issue!

Login

Patient navigation benefits health systems, improves care
Initial data presented at the White House come a year after CMS payment began

Ready or not, AI-based decision support tools are entering oncology clinics
Regulators and health systems must adapt