ESMO publishes guidances on AI tools for clinicians, patients, and researchers Says one author: “We think there should be some degree of human oversight, otherwise, they can go completely rogue and nobody notices.”

The defining question of the next decade is not how many drug candidates can be generated, but who decides which ones move forward, and why
Drug development must convene a forum for candid, cross-sector discussion

At the 2026 Annual Meeting of the American Society of Clinical Oncology in Chicago, results from the phase III HARMONi-6 trial were presented at the plenary session and published simultaneously in The Lancet. The HARMONi-6 trial tested a novel bispecific antibody that engages PD-1 and VEGF (ivonescimab), given with platinum-doublet chemotherapy to patients with previously untreated advanced squamous non-small cell lung cancer.

August 14, 2026

Vol.52 No.32

By Richard L. Schilsky, H. Kim Lyerly, Thomas R. Fleming and Renzo Canetta

Clinical Guest Editorial

Like it or not, AI psycho-oncology care is already happening. Urgently needed: An ethical framework
Developers and mental health providers must share the same goal: Safe, equitable, trustworthy, and patient-centered care

In 2026, more than 900 million people are estimated to be regularly using generative artificial intelligence—computer systems capable of creating human-like text, images, audio, video, and other original content. AI is becoming integrated into nearly every aspect of daily life. Health care is no exception.

August 14, 2026

Vol.52 No.32

By Viktor Clark, Sean M. Dozier, AnnaLynn M. Williams, Cynthia M. Rand and Lee A. Kehoe

Podcast The Directors

The Directors: New directors Herbst and Gius chart a future built on AI, collaboration, and rural access

New pressures notwithstanding, being a cancer center director is still a dream job, two of the nation’s newest cancer center directors said.

August 07, 2026

Vol.52 No.31

By Claire Marie Porter and Paul Goldberg

Data-driven: Using AI to solve the complexities of cancer

When it comes to harnessing artificial intelligence for cancer breakthroughs, Johns Hopkins researchers Alex Szalay, PhD, and Janis Taube, MD, MSc, believe the future begins with data—lots of it.

August 07, 2026

Vol.52 No.31

By Johns Hopkins Kimmel Cancer Center Communications

Clinical Roundup

DNA atlas could power the next generation of AI drug discovery, Salk-led study finds

Researchers at the Salk Institute and Arc Institute and their collaborators unveiled the first body-wide single-cell atlas of two major epigenetic systems: three-dimensional genome folding and DNA methylation—precise patterns of methyl chemical groups tacked onto DNA—measured simultaneously in the same cells.

July 31, 2026

Vol.52 No.30

Podcast The Directors

The Directors: Two leaders in data science have a warp speed vision for AI, with cancer clinical trials leading the way
Knudsen and Thoelke: “It’s actually solving for bottlenecks and challenges that we’ve been unable to overcome for so long”

The United States has a translation problem. Scientific breakthroughs in oncology are accelerating, but clinical trial infrastructure hasn’t kept pace.

July 17, 2026

Vol.52 No.28

By Paul Goldberg and Claire Marie Porter

ESMO publishes guidances on AI tools for clinicians, patients, and researchers

Says one author: “We think there should be some degree of human oversight, otherwise, they can go completely rogue and nobody notices.”

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The defining question of the next decade is not how many drug candidates can be generated, but who decides which ones move forward, and why
Drug development must convene a forum for candid, cross-sector discussion

Like it or not, AI psycho-oncology care is already happening. Urgently needed: An ethical framework
Developers and mental health providers must share the same goal: Safe, equitable, trustworthy, and patient-centered care

The Directors: New directors Herbst and Gius chart a future built on AI, collaboration, and rural access

Data-driven: Using AI to solve the complexities of cancer

DNA atlas could power the next generation of AI drug discovery, Salk-led study finds

The Directors: Two leaders in data science have a warp speed vision for AI, with cancer clinical trials leading the way
Knudsen and Thoelke: “It’s actually solving for bottlenecks and challenges that we’ve been unable to overcome for so long”

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ESMO publishes guidances on AI tools for clinicians, patients, and researchers

Says one author: “We think there should be some degree of human oversight, otherwise, they can go completely rogue and nobody notices.”

YOU MAY BE INTERESTED IN

The defining question of the next decade is not how many drug candidates can be generated, but who decides which ones move forward, and whyDrug development must convene a forum for candid, cross-sector discussion

Like it or not, AI psycho-oncology care is already happening. Urgently needed: An ethical frameworkDevelopers and mental health providers must share the same goal: Safe, equitable, trustworthy, and patient-centered care

The Directors: New directors Herbst and Gius chart a future built on AI, collaboration, and rural access

Data-driven: Using AI to solve the complexities of cancer

DNA atlas could power the next generation of AI drug discovery, Salk-led study finds

The Directors: Two leaders in data science have a warp speed vision for AI, with cancer clinical trials leading the wayKnudsen and Thoelke: “It’s actually solving for bottlenecks and challenges that we’ve been unable to overcome for so long”

Never miss an issue!

Login

The defining question of the next decade is not how many drug candidates can be generated, but who decides which ones move forward, and why
Drug development must convene a forum for candid, cross-sector discussion

Like it or not, AI psycho-oncology care is already happening. Urgently needed: An ethical framework
Developers and mental health providers must share the same goal: Safe, equitable, trustworthy, and patient-centered care

The Directors: Two leaders in data science have a warp speed vision for AI, with cancer clinical trials leading the way
Knudsen and Thoelke: “It’s actually solving for bottlenecks and challenges that we’ve been unable to overcome for so long”