Yan Leyfman, MD

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#TranslationalMedicine #Oncology #MedicalInnovation #CAR_T #Biotech #Podcast

E15 - The first universal base edited CAR-T cells

🎧 Start listening here:

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Apple Podcasts
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Shuf
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New weekly episodes dive into the cutting edge of translational medicine — and we’re just getting started.

E15 - The first universal base edited CAR-T cells

If you're curious about where medicine is heading over the next decade, this podcast is for you.

Through conversations at the intersection of science, innovation, and clinical care, The Translational Edge explores how discoveries move from bench → bedside → real patient impact.

Each episode breaks down the most exciting breakthroughs in modern medicine, from:
🧬 CAR-T and next-generation cellular therapies
🧬 Gene editing and immunotherapy
🧬 Transformative clinical trials
🧬 Innovations that are redefining how we treat cancer and disease

E15 - The first universal base edited CAR-T cells

This podcast was built around one idea:
The future of medicine is happening now — and we need to translate it.

🎙️ Big News for The Translational Edge Podcast

I’m excited to share that The Translational Edge Podcast is now officially available on Spotify and Apple Podcasts, in partnership with Shuf.

Thank you again to my mentors Dr. Arturo LoAIza-Bonilla and Dr. Chandler Park, and to collaborators whose guidance and trust continue to shape this work — truly a team effort

More work to do.

This institution played a meaningful role in shaping me early in my training, so returning to share work at this stage felt especially full circle.

Thank you to everyone who engaged so deeply in the discussion.

Grateful for the opportunity to present 2 oral presentations today to more than 160 attendees at the MSKCC Global Health Equity Conference.

The questions were thoughtful, challenging, and exactly what moves work forward. That kind of engagement is why academic medicine matters.

Yan Leyfman: Clinicians Must Shape How AI Impacts Patient Care - OncoDaily Yan Leyfman: Clinicians Must Shape How AI Impacts Patient Care / AI, cancer, OncoDaily, Oncology, Yan Leyfman

Clinicians Must Shape How AI Impacts Patient Care - Yan Leyfman

@yleyfman.bsky.social

oncodaily.com/voices/yan-l...

#OncoDaily #Oncology #Cancer #Health #Medicine #MedEd #MedOnc #MedNews

When Words Fall Short: A Lesson in Silence and Compassion | CancerNetwork This section aims to enhance provider empathy, mitigate burnout, and center the patient’s lived experience within the rigorous framework of medical science.

In this month’s ONCOLOGY, I write about presence, empathy, and the power of staying with our patients when language falls short.

Because sometimes the most meaningful care is simply being there.

Honored to share this reflection with CancerNetwork.

www.cancernetwork.com/view/when-wo...

Yan Leyfman: Seeing Trainees Move from Learners to Published Authors - OncoDaily Yan Leyfman: Seeing Trainees Move from Learners to Published Authors / Ariana Pelosci, cancer, Chandler Park, Ishan Paduvagere, Jenna Ghazal, MedNews Week,

Seeing Trainees Move from Learners to Published Authors - Yan Leyfman(@yleyfman.bsky.social)

oncodaily.com/voices/yan-l...

#OncoDaily #Oncology #Cancer #Health #Medicine #MedEd #MedOnc #MedNews

Thank you

Yan Leyfman: Why ASCT Remains Foundational Amid Modern Myeloma Advances - OncoDaily Yan Leyfman: Why ASCT Remains Foundational Amid Modern Myeloma Advances / ASCT, cancer, Chandler H Park, Ishan Paduvagere, Jenna Ghazal, multiple myeloma,

Why ASCT Remains Foundational Amid Modern Myeloma Advances - Yan Leyfman(@yleyfman.bsky.social)

oncodaily.com/voices/yan-l...

#OncoDaily #Oncology #Cancer #Health #Medicine #MedEd #MedOnc #MedNews

On World Cancer Day, honored to share my story with Oncology Times. What began as childhood tragedy became a lifelong calling in oncology—rooted in empathy, service, and healing.

Grateful for the platform and the chance to reflect.

🎧 Listen here: ow.ly/yj8t50Y8TE8

Looking forward to seeing many of you in person and continuing the discussion around immune and cellular therapies.

#Tandem2026 #CellTherapy #GlobalOncology #Grateful #AcademicCollaboration

Very excited to present these abstracts at the 2026 Tandem Meeting 🌍

Forever grateful to my mentors Dr. Bonilla and Dr. Park for their support and guidance 🙏, and to an incredible team of co-authors it was a pleasure to work with on these important projects 💡🤝.

5 minutes. Anonymous. Your voice in how AI shapes medicine. 🧠🩺

Thank you

Yan Leyfman: Survey for Real-World Insights on AI Use in Medicine - OncoDaily Yan Leyfman: Survey for Real-World Insights on AI Use in Medicine / cancer, OncoDaily, Oncology, Yan Leyfman

Survey for Real-World Insights on AI Use in Medicine - Yan Leyfman

@yleyfman.bsky.social

oncodaily.com/voices/yan-l...

#OncoDaily #Oncology #Cancer #Health #Medicine #MedEd #MedOnc #MedNews

The Competence - Confidence Gap in AI Oncology [Long Version] Thank you for participating in this survey on the use of artificial intelligence (AI) in oncology practice. This anonymous survey explores how oncology clinicians interact with different AI tools in ...

👉 Take the survey here: docs.google.com/forms/d/e/1F...

🙏 Please share with colleagues — broader input = better insights.

Thank you.

The Competence - Confidence Gap in AI Oncology [Long Version] Thank you for participating in this survey on the use of artificial intelligence (AI) in oncology practice. This anonymous survey explores how oncology clinicians interact with different AI tools in ...

✅ Any training level

✅ Any practice setting

✅ Whether you use AI daily, occasionally, or not at all

✅ Includes a brief clinical scenario

Your perspective matters — especially as AI tools are increasingly part of our workflows.

The Competence - Confidence Gap in AI Oncology [Long Version] Thank you for participating in this survey on the use of artificial intelligence (AI) in oncology practice. This anonymous survey explores how oncology clinicians interact with different AI tools in ...

📣How are you actually using AI in practice?📣

We’re running a very short, anonymous survey (⏱️ 5 minutes) looking at real-world AI use in medicine — from documentation to clinical decision-making.

#AIinMedicine #DigitalHealth #AIinHealthcare #ClinicalPractice #PhysicianVoices

Holistic evaluation of large language models for medical tasks with MedHELM - Nature Medicine MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language mo...

💡 Why it matters:
MedHELM moves evaluation from “Can AI pass exams?” to “Which AI is fit for which clinical job?”—supporting evidence-based selection of medical AI systems for real healthcare deployment.

🚀 A step toward safer, smarter, and more practical clinical AI.

www.nature.com/articles/s41...

Holistic evaluation of large language models for medical tasks with MedHELM - Nature Medicine MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language mo...

📊 Key insights:

• Advanced reasoning models (DeepSeek R1, o3-mini) led overall (≈66% win rate)

• Claude 3.5 Sonnet delivered comparable performance at ~15% lower compute cost

• Meaningful performance differences emerge only when models are tested on realistic clinical tasks

Holistic evaluation of large language models for medical tasks with MedHELM - Nature Medicine MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language mo...

• A benchmark suite of 37 evaluations spanning the full spectrum of medical work

• A systematic comparison of 9 frontier LLMs using an automated LLM-jury scored against expert-defined criteria

Holistic evaluation of large language models for medical tasks with MedHELM - Nature Medicine MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language mo...

🔍 What MedHELM brings:

• A clinician-validated taxonomy covering 5 real-world domains:

– Clinical decision support

– Clinical note generation

– Patient communication

– Medical research

– Administration

→ 22 subcategories, 121 concrete clinical tasks

Holistic evaluation of large language models for medical tasks with MedHELM - Nature Medicine MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language mo...

🧠⚕️ Beyond board exams: evaluating AI for real-world medicine

Large language models can ace medical licensing exams—but that says little about how they perform in day-to-day clinical practice. Enter MedHELM, a new framework designed to evaluate medical AI where it actually matters.

Thank you