Presentations, Videos and Podcasts
XCELSIOR: A real-time, real-world learning platform for patients with advanced cancer. Poster at SNO Meeting (2021).
Company Presentation ▶ by Mika Newton at the DTRA Meeting (2021)
The Technology behind the xCures Platform. A presentation by Glenn Kramer at the Visionary Davos Event (2021)
Target: Cancer Podcast. Multiple interviews with oncologists and patients about healthtech (2021)
Company Overview ▶ Presentation by Mika Newton at the Ax S Thursday’s e-Conference Series (2021)
A Multilevel Model for Precision Oncology. Poster at ProgProb (2020).
Explanatory video of the XCELSIOR Perpetual Clinical Trial ▶ YouTube (2020).
Use of a real-world data approach to rapidly generate outcomes data following a case study of a novel treatment combination in pancreatic adenocarcinoma. Abstract at ASCO Virtual Scientific Program (2020).
Fireside chat with Marty Tenenbaum ▶ Kids & Art Foundation Event (2019).
Keith Flaherty, M.D.: Deep dive into cancer—History of oncology, novel approaches to treatment, and the exciting and hopeful future. The Drive podcast by Peter Attia (2019).
Real-world Evidence – Future Directions ▶. Presentation by Mark Shapiro for the American Association for Cancer Research (2019).
Perpetual Clinical Trials. Presentation by Mika Newton for the Next Generation Dx Summit (2019).
Reinventing Oncology through AI. Presentation by Marty Tenenbaum at Cancer Advance Boston (2019).
How AI Will Cure Cancer? ▶ Presentation by Marty Tenenbaum at PMWC (2018).
What Efficient Clinical Science Could Look Like. Presentation by Jeff Shrager at Harvard Clinical Trial Ethics Discussion Group (2018).
Forget Moonshots. Biomedicine Needs an Air Traffic Control System. Presentation by Jeff Shrager at SF State University Personalized Medicine 11.0 Conference (2018).
Lung cancer living room ▶ Conversation with Marty Tenenbaum (2014).
A Multilevel Bayesian Model for Precision Oncology. In ProgProb (2020)
Real-world data’s power to increase racial diversity in clinical research. In BioCentury (2020)
What if … Every patient’s clinical trial experience contributed to collective learning? In PharmaVoice, 2020 Year In Preview (2019).
Move over Big Data: curing cancer needs coordination. In the Fierce Healthcare Innovation Report (2019).
Is Cancer Solvable? Towards Efficient and Ethical Biomedical Science. In the Journal of Law, Medicine & Ethics (2019).
Prototyping a precision oncology 3.0 rapid learning platform. In BMC Bioinformatics (2018).
Forget Moonshots: Biomedicine Needs an Air Traffic Control System. In the Lundberg Institute Blog (2017).
Paths to Precision Medicine. In the Journal of Precision Medicine (2015).
Rapid learning for precision oncology. In Nature Reviews Clinical Oncology (2014).
Theoretical Issues for Global Cumulative Treatment Analysis (GCTA). In arXiv (2013).
A novel classification of lung cancer into molecular subtypes. In PLOS One (2012).
Cancer: A Computational Disease that AI Can Cure. In AI Magazine (2011)
A melanoma molecular disease model. In PLOS One (2011).
Selected Relevant Publications
Individualized Screening Trial of Innovative Glioblastoma Therapy (INSIGhT): A Bayesian Adaptive Platform Trial to Develop Precision Medicines for Patients With Glioblastoma. In JCO Precision Oncology (2019).
Harnessing the Power of Real‐World Evidence (RWE): A Checklist to Ensure Regulatory‐Grade Data Quality. In Clinical Pharmacology & Therapeutics (2018)
The Hallmarks of Cancer (Wikipedia)
Personalized medicine (Wikipedia)
Probabilistic programming (Wikipedia)
Adaptive clinical trial (Wikipedia)