Archives: Publications
Clinical & Scientific Publications
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Efficacy of immune checkpoint inhibitors in glioblastoma from real world data analysis
Poster at SNO (2023)
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AI-Augmented Clinical Decision Support in a Patient-Centric Precision Oncology Registry
AI in Precision Oncology (2023)
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Clinical utility of an international multidisciplinary virtual tumor board for fibrolamellar carcinoma.
Abstract at ASCO 2023
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Use of proton pump inhibitors (PPI) in glioblastoma (GBM) and relationship to overall survival in a national real-world evidence (RWE) database.
Abstract at ASCO 2023
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Systems biology based therapeutic predictions with gbmSYGNAL and clinical correlates in the real world longitudinal outcomes registry XCELSIOR
Poster at SNO (2022)
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Virtual Trials: Causally-validated treatment effects efficiently learned from an observational brain cancer registry
Artificial Intelligence in Medicine (2022)
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Real world clinical outcomes of patients with diffuse midline glioma in a longitudinal outcomes registry
Poster at SNO (2022)
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Case report: response to the ERK1/2 inhibitor ulixertinib in BRAF D594G cutaneous melanoma
Melanoma Research (2022)
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Cancer Commons’ Virtual Tumor Board program- a patient-centric advisory panel and Real-World Data registry.
Poster at ASCO GI (2022)
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XCELSIOR: A real-time, real-world learning platform for patients with advanced cancer.
Poster at SNO Meeting (2021)
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Use of a real-world data registry to rapidly generate outcomes data following a case study of a novel treatment combination in pancreatic adenocarcinoma
Poster at AACR (2020)
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A Multilevel Model for Precision Oncology
Poster at ProgProb (2020).
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Is Cancer Solvable? Towards Efficient and Ethical Biomedical Science
In the Journal of Law, Medicine & Ethics (2019).
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Prototyping a precision oncology 3.0 rapid learning platform
In BMC Bioinformatics (2018).
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Paths to Precision Medicine
In the Journal of Precision Medicine (2015).
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Rapid learning for precision oncology
In Nature Reviews Clinical Oncology (2014).
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Theoretical Issues for Global Cumulative Treatment Analysis (GCTA)
In arXiv (2013).
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A novel classification of lung cancer into molecular subtypes
In PLOS One (2012).
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A melanoma molecular disease model
In PLOS One (2011).
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Presentations, Podcasts & Videos
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Podcast/Video
Mika Newton talks about AI in medicine and how patients and physicians will benefit from it on WBAP radio
by Mika Newton on WBAP radio (2023)
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Podcast/Video
The connection between A.I. and oncology
By Mika Newton on the Few & Far Between podcast (2023)
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Podcast/Video
Explanatory video of how xCures works
YouTube (2022)
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Podcast/Video
Real-time, Regulatory-grade, Clinical data (RRC)
by Mika Newton at the DTRA Meeting (2022)
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Podcast/Video
Target: Cancer Podcast
Interviews about big ideas in cancer (2022).
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Podcast/Video
Company Presentation
by Mika Newton at the DTRA Meeting (2021).
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Podcast/Video
The Technology behind the xCures Platform
A presentation by Glenn Kramer at the Visionary Davos Event (2021).
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Podcast/Video
Company Overview
Presentation by Mika Newton at the Ax S Thursday’s e-Conference Series (2021)
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Podcast/Video
Real-world Evidence – Future Directions
Presentation by Mark Shapiro for the American Association for Cancer Research (2019).
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Podcast/Video
Fireside chat with Marty Tenenbaum
Kids & Art Foundation Event (2019)
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Presentation
Reinventing Oncology through AI
Presentation by Marty Tenenbaum at Cancer Advance Boston (2019).
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Presentation
Perpetual Clinical Trials
Presentation by Mika Newton for the Next Generation Dx Summit (2019).
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Presentation
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).
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Presentation
What Efficient Clinical Science Could Look Like
Presentation by Jeff Shrager at Harvard Clinical Trial Ethics Discussion Group (2018).
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Podcast/Video
How AI Will Cure Cancer?
Presentation by Marty Tenenbaum at PMWC (2018).
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Podcast/Video
Global Cumulative Treatment Analysis (GCTA)
(2017).
Published Articles
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New Healthcare Platform Addresses Critical Issue of Disparate Patient Data in Oncology
TechBullion (Dec 2023)
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Human Experts Combined with AI-Based Software an Effective Clinical Decision Support System in Oncology
Inside Precision Medicine (2023)
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Social Impact Tech: Mika Newton of xCures On How Their Technology Will Make An Important Positive Impact
Authority Magazine (2022)
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Real-world data’s power to increase racial diversity in clinical research
In BioCentury (2020).
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Move over Big Data: curing cancer needs coordination
In the Fierce Healthcare Innovation Report (2019).
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What if … Every patient’s clinical trial experience contributed to collective learning?
In PharmaVoice, 2020 Year In Preview (2019).
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Forget Moonshots: Biomedicine Needs an Air Traffic Control System
In the Lundberg Institute Blog (2017).
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Cancer: A Computational Disease that AI Can Cure
In AI Magazine (2011)
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Selected Relevant Publications
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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).
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Harnessing the Power of Real‐World Evidence (RWE): A Checklist to Ensure Regulatory‐Grade Data Quality
In Clinical Pharmacology & Therapeutics (2018).
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Adaptive clinical trial
(Wikipedia).
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Oncogenomics
(Wikipedia).
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Probabilistic programming
(Wikipedia).
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Personalized medicine
(Wikipedia).
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The Hallmarks of Cancer
(Wikipedia).
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