Oncology Data Advisor is excited to be launching our new podcast series, "Exploring Artificial Intelligence in Oncology." Hosted by Waqas Haque, MD, MPH, Member of the Oncology Data Advisor Fellows Forum, this series will delve into the burgeoning roles and uses of AI in cancer care, from pathology to toxicity risk prediction to treatment recommendations and beyond.

Exploring Artificial Intelligence in Oncology

In this first episode of Oncology Data Advisor’s new podcast series, “Exploring Artificial Intelligence in Cancer Care,” Dr. Waqas Haque and Dr. Matthew Hadfield of the OncData Fellows Forum engage in a discussion with Dr. Ofer Sharon, CEO of OncoHost. Dr. Sharon provides an overview of the clinical need for increased knowledge of patients’ probabilities of developing immune-related adverse events and explains the PROphet® platform, OncoHost’s novel plasma-based, proteomic pattern analysis tool that uses a single blood sample to guide immunotherapy treatment decisions.

Predicting Immune-Related Adverse Events Through Machine Learning With Dr. Ofer Sharon of OncoHost

This second episode of Oncology Data Advisor's podcast series, Exploring Artificial Intelligence in Oncology, features Leif Honda, Chief Innovation Officer at TriMetis, a digital pathology company focused on improving patient outcomes by accelerating human tissue-based research, development, and testing. Dr. Waqas Haque, member of the Oncology Data Advisor Fellows Forum, speaks with Mr. Honda about the TriMetis Computer-Assisted Pathology (TCAP) AI platform, including how it was developed and trained, its capabilities for streamlining the pathology workflow, and the ongoing process of preparing it for clinical utility.

Streamlining the Pathology Workflow Through AI: Waqas Haque and Leif Honda of TriMetis

In this installment of Oncology Data Advisor's Exploring AI in Oncology series, Dr. Waqas Haque speaks with Dr. Shaalan Beg, an Adjunct Associate Professor at the University of Texas (UT) Southwestern, who is spearheading efforts to decentralize clinical trials in oncology and expand access for eligible patients. Dr. Beg describes the tools that are currently in development for decentralizing trials, including the use of artificial intelligence (AI), natural language processing, and telehealth. Additionally, he shares his perspectives on transitioning to a career in industry.

Expanding Clinical Trial Access With Decentralization and Technology: Waqas Haque and Shaalan Beg

In this installment of Oncology Data Advisor's Exploring Artificial Intelligence in Oncology series, Dr. Waqas Haque, Fellows Forum member and incoming Hematology/Oncology Fellow at the University of Chicago, speaks with Tracey Sikora, Co-Founder of Every Cure, a nonprofit organization whose mission is to repurpose existing FDA-approved drugs for other indications, especially in rare diseases. 

Check out the discussion to learn more about: 
•	Challenges in finding treatments for rare diseases, including sparse data, low patient numbers, and lack of financial incentive for pharmaceutical companies
•	Every Cure’s mission to unlock the potential of drugs that are already on the market
•	Harnessing the latest AI and machine learning technology to structure data in a biomedical knowledge graph, looking at drugs, diseases, pathways, and targets
•	Barriers in drug repurposing, including clinical validation and eventual approval
•	The Advanced Research Projects Agency for Health (ARPA-H) grant and the importance of federal funding for rare disease research
•	How to develop efficient clinical trials without a large sample size
•	The future of AI-enabled drug discovery in oncology 
•	And more!

Every Cure: Unlocking Drug Potential With Artificial Intelligence With Waqas Haque and Tracey Sikora

This installment of Oncology Data Advisor's Exploring Artificial Intelligence (AI) in Oncology series features a discussion recorded live at the American Society of Clinical Oncology (ASCO) 2024 Annual Meeting between Ranjana Devi, Vice President of Product Development, Oncology, at Qure.ai, and Fellows Forum member Dr. Waqas Haque. 

Check out the episode to hear more about: 
•	Qure.ai’s mission of making healthcare more accessible and equitable to patients worldwide through innovations in deep learning and AI
•	Current challenges in lung cancer screening and the capabilities of AI in addressing these gaps
•	Qure.ai’s end-to-end AI-powered solutions for early lung cancer detection and care
•	The efficacy of these solutions and how they can be used in the clinic
•	The lung cancer portfolio that Qure.ai showcased at ASCO
•	Other innovations coming down the pipeline
•	And more!

Qure.ai: Improving Early Lung Cancer Detection Through AI with Ranjana Devi and Waqas Haque, MD, MPH

In this episode of the Exploring AI in Oncology podcast, Waqas Haque, MD, MPH, a Hematology/Oncology Fellow at the University of Chicago, speaks with Samir Shah, MD, MMM, FACR, the Chief Medical Officer at Qure.ai. Their discussion explores how Qure.ai’s innovative AI solutions are addressing critical gaps in lung cancer screening and improving early detection through advanced image analysis and clinical data integration.

Harnessing AI for Early Lung Cancer Detection: Qure.ai’s Innovations and Impact

The mission of Oncology Data Advisor is to provide the multidisciplinary team with expert insights into clinical best practices and research progress in cancer care.

Harnessing AI for Early Lung Cancer Detection: Qure.ai’s Innovations and Impact

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