University of California San Francisco
Helen Diller Family Comprehensive Cancer Center
Dexter Hadley, MD, PhD

Dexter Hadley, MD, PhD

Assistant Professor, Department of Pediatrics, UCSF

Cancer Center Program Memberships

Non-aligned

Research Summary

Dr. Hadley's expertise is in translating big data into precision medicine and digital health. His background is in genomics and computational biology and he has training in clinical pathology. His research generates, annotates, and ultimately reasons over large multi-modal data stores to identify novel biomarkers and potential therapeutics for disease. His early work resulted in a successful precision medicine clinical trial for ADHD (ClinicalTrials.gov Identifier: NCT02286817) for a first-in-class, non-stimulant neuromodulator to be targeted across the neuropsychiatric disease spectrum. More recently, his laboratory was funded by the NIH Big Data to Knowledge initiative to develop the stargeo.org online portal to crowd-source annotations of open genomics big data that allows users to discover the functional genes and biological pathways that are defective in disease. In addition to his genomics work, he develops state-of-the-art data driven models of clinical intelligence that drive clinical applications to more precisely screen, diagnose, and manage disease. Towards this end, he has been repeatedly recognized by UCSF with various awards including the inaugural UCSF Marcus Award for Precision Medicine to develop a digital learning health system to use smartphones to screen for skin cancer as well as a pilot award in precision imaging to better screen mammograms for invasive breast cancer. In general, the end point of his work is rapid proofs of concept clinical trials in humans that translate into better patient outcomes and reduced morbidity and mortality across the spectrum of disease.

Education

New College of Florida, Sarasota, FL, B.S., 05/1999, Natural Science
University of Pennsylvania, Philadelphia, PA, M.S.E., 05/2003, Systems Engineering
University of Pennsylvania, Philadelphia, PA, Ph.D., 10/2007, Genomics & Comp Bio
University of Pennsylvania, Philadelphia, PA, M.D., 05/2009, Medicine
Hospital of the University of Pennsylvania, PA, Internship, 06/2010, General Surgery
Stanford University, Stanford, CA, Residency, 06/2013, Clinical Pathology


Professional Experience

  • 07/10 – 06/12
    Lead Clinical Genomics Analyst, Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
  • 09/13 – 03/15
    Research Associate, Division of Systems Medicine, Department of Pediatrics, Stanford University, Stanford, CA
  • 04/15 – present
    Assistant Professor, Department of Pediatrics, UCSF, San Francisco, CA

Honors & Awards

  • 2000
    Center of Excellence Fellowship
  • 2000
    NIH/NHLBI Fellowship
  • 2007
    AAAS Excellence in Science Scholar
  • 2003 – 2007
    NIH Computational Biology Training Grant
  • 2009
    Penn Biotech Group Entrepreneurial Competition Winner
  • 2011
    NIH LRP award for outstanding pediatric clinical research
  • 2015
    AMIA Design Challenge Competition Winner

Selected Publications

  1. Paik H, Kan MJ, Rappoport N, Hadley D, Sirota M, Chen B, Manber U, Cho SB, Butte AJ. Tracing diagnosis trajectories over millions of patients reveal an unexpected risk in schizophrenia. Sci Data. 2019 10 15; 6(1):201.
    View on PubMed
  2. Lituiev DS, Trivedi H, Panahiazar M, Norgeot B, Seo Y, Franc B, Harnish R, Kawczynski M, Hadley D. Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers. J Digit Imaging. 2019 Apr; 32(2):228-233.
    View on PubMed
  3. Trivedi HM, Panahiazar M, Liang A, Lituiev D, Chang P, Sohn JH, Chen YY, Franc BL, Joe B, Hadley D. Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning. J Digit Imaging. 2019 Feb; 32(1):30-37.
    View on PubMed
  4. Ding Y, Sohn JH, Kawczynski MG, Trivedi H, Harnish R, Jenkins NW, Lituiev D, Copeland TP, Aboian MS, Mari Aparici C, Behr SC, Flavell RR, Huang SY, Zalocusky KA, Nardo L, Seo Y, Hawkins RA, Hernandez Pampaloni M, Hadley D, Franc BL. A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain. Radiology. 2019 Feb; 290(2):456-464.
    View on PubMed
  5. Wong A, Young AT, Liang AS, Gonzales R, Douglas VC, Hadley D. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment. JAMA Netw Open. 2018 08 03; 1(4):e181018.
    View on PubMed
  6. Shaikh F, Franc B, Allen E, Sala E, Awan O, Hendrata K, Halabi S, Mohiuddin S, Malik S, Hadley D, Shrestha R. Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application-Part 1: From Methodology to Clinical Implementation. J Am Coll Radiol. 2018 03; 15(3 Pt B):538-542.
    View on PubMed
  7. Shaikh F, Franc B, Allen E, Sala E, Awan O, Hendrata K, Halabi S, Mohiuddin S, Malik S, Hadley D, Shrestha R. Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application-Part 2: From Clinical Implementation to Enterprise. J Am Coll Radiol. 2018 03; 15(3 Pt B):543-549.
    View on PubMed
  8. Kido T, Sikora-Wohlfeld W, Kawashima M, Kikuchi S, Kamatani N, Patwardhan A, Chen R, Sirota M, Kodama K, Hadley D, Butte AJ. Are minor alleles more likely to be risk alleles? BMC Med Genomics. 2018 01 19; 11(1):3.
    View on PubMed
  9. Rappoport N, Toung J, Hadley D, Wong RJ, Fujioka K, Reuter J, Abbott CW, Oh S, Hu D, Eng C, Huntsman S, Bodian DL, Niederhuber JE, Hong X, Zhang G, Sikora-Wohfeld W, Gignoux CR, Wang H, Oehlert J, Jelliffe-Pawlowski LL, Gould JB, Darmstadt GL, Wang X, Bustamante CD, Snyder MP, Ziv E, Patsopoulos NA, Muglia LJ, Burchard E, Shaw GM, O'Brodovich HM, Stevenson DK, Butte AJ, Sirota M. A genome-wide association study identifies only two ancestry specific variants associated with spontaneous preterm birth. Sci Rep. 2018 01 09; 8(1):226.
    View on PubMed
  10. Glessner JT, Li J, Wang D, March M, Lima L, Desai A, Hadley D, Kao C, Gur RE, Cohen N, Sleiman PMA, Li Q, Hakonarson H. Copy number variation meta-analysis reveals a novel duplication at 9p24 associated with multiple neurodevelopmental disorders. Genome Med. 2017 Nov 30; 9(1):106.
    View on PubMed
  11. Chalkia D, Singh LN, Leipzig J, Lvova M, Derbeneva O, Lakatos A, Hadley D, Hakonarson H, Wallace DC. Association Between Mitochondrial DNA Haplogroup Variation and Autism Spectrum Disorders. JAMA Psychiatry. 2017 11 01; 74(11):1161-1168.
    View on PubMed
  12. Himmelstein DS, Lizee A, Hessler C, Brueggeman L, Chen SL, Hadley D, Green A, Khankhanian P, Baranzini SE. Systematic integration of biomedical knowledge prioritizes drugs for repurposing. Elife. 2017 09 22; 6.
    View on PubMed
  13. Hadley D, Pan J, El-Sayed O, Aljabban J, Aljabban I, Azad TD, Hadied MO, Raza S, Rayikanti BA, Chen B, Paik H, Aran D, Spatz J, Himmelstein D, Panahiazar M, Bhattacharya S, Sirota M, Musen MA, Butte AJ. Precision annotation of digital samples in NCBI's gene expression omnibus. Sci Data. 2017 09 19; 4:170125.
    View on PubMed
  14. Bhattacharya A, Young A, Wong A, Stalling S, Wei M, Hadley D. Precision Diagnosis Of Melanoma And Other Skin Lesions From Digital Images. AMIA Jt Summits Transl Sci Proc. 2017; 2017:220-226.
    View on PubMed
  15. Hoffman JD, Graff RE, Emami NC, Tai CG, Passarelli MN, Hu D, Huntsman S, Hadley D, Leong L, Majumdar A, Zaitlen N, Ziv E, Witte JS. Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. PLoS Genet. 2017 Mar; 13(3):e1006690.
    View on PubMed
  16. Paik H, Chen B, Sirota M, Hadley D, Butte AJ. Integrating Clinical Phenotype and Gene Expression Data to Prioritize Novel Drug Uses. CPT Pharmacometrics Syst Pharmacol. 2016 11; 5(11):599-607.
    View on PubMed
  17. Hinney A, Kesselmeier M, Jall S, Volckmar AL, Föcker M, Antel J, Heid IM, Winkler TW, Guo Y, Bergen AW, Kaye W, Berrettini W, Hakonarson H, Herpertz-Dahlmann B, de Zwaan M, Herzog W, Ehrlich S, Zipfel S, Egberts KM, Adan R, Brandys M, van Elburg A, Boraska Perica V, Franklin CS, Tschöp MH, Zeggini E, Bulik CM, Collier D, Scherag A, Müller TD, Hebebrand J. Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index. Mol Psychiatry. 2017 02; 22(2):321-322.
    View on PubMed
  18. Hinney A, Kesselmeier M, Jall S, Volckmar AL, Föcker M, Antel J, Heid IM, Winkler TW, Grant SF, Guo Y, Bergen AW, Kaye W, Berrettini W, Hakonarson H, Herpertz-Dahlmann B, de Zwaan M, Herzog W, Ehrlich S, Zipfel S, Egberts KM, Adan R, Brandys M, van Elburg A, Boraska Perica V, Franklin CS, Tschöp MH, Zeggini E, Bulik CM, Collier D, Scherag A, Müller TD, Hebebrand J. Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index. Mol Psychiatry. 2017 02; 22(2):192-201.
    View on PubMed
  19. Desai A, Connolly JJ, March M, Hou C, Chiavacci R, Kim C, Lyon G, Hadley D, Hakonarson H. Systematic data-querying of large pediatric biorepository identifies novel Ehlers-Danlos Syndrome variant. BMC Musculoskelet Disord. 2016 Feb 16; 17:80.
    View on PubMed
  20. Osama El-Sayed, Omar Hadied, Jihad Al-Jabban, Bilal Zaidi, Shuaib Raza, James Pan, Tej Azad, Imad Al-Jabban, Dexter Hadley. Meta-Analyses of Microarray Data Reveals Interferon Signaling Is Top Canonical Pathway in Human Immunodeficiency Virus (HIV). 2015; 2(suppl 1):1608.
    View on PubMed

Go to UCSF Profiles, powered by CTSI