Tomi Nano, PhD

Title(s)Assistant Professor, Radiation Oncology
SchoolSchool of Medicine
Address1600 Divisadero, #H1009
San Francisco CA 94115
ORCID ORCID Icon0000-0002-1112-9905 Additional info
vCardDownload vCard

    Collapse Biography 
    Collapse Education and Training
    University of Windsor, Windsor, ON, CanadaB.Ss. (Honors)05/2014Physics
    Western University, London, ON, CanadaM.Cl.Sc.01/2017Medical Physics (CAMPEP)
    Western University, London, ON, CanadaPh.D.06/2019Medical Biophysics
    Collapse Awards and Honors
    UCSF2021  - 2022Mount Zion Health Fund (MZHF Grant #20211155)
    UCSF2020  - 2021Mount Zion Health Fund (MZHF Grant #20201225 - RAP cancer)
    Western University2018  - 2019Natural Sciences and Engineering Research Council (NSERC) PGSD
    Western University2016  - 2018Translation Breast Cancer Research Traineeship (TBCRU)
    Western University2015  - 2017Natural Sciences and Engineering Research Council (NSERC) CGSM

    Collapse Overview 
    Collapse Overview
    Artificial intelligence (AI) in medicine, such as machine or deep learning, has evolved drastically in recent years. It is being applied to a broad spectrum of problems, however, there are few AI algorithms that have transitioned to clinic and disseminated into practice. Translation of AI algorithms that use medical imaging requires understanding of fundamental imaging physics. Imaging data has some degree of noise, and AI algorithms have some degree of inaccuracy. By understanding the relationship between imaging and statistical models, we can improve how to implement AI algorithms in clinics to provide more accurate predictions.

    Dr. Nano's academic and research training has equipped me with a strong understanding of imaging fundamentals that include physics of detectors, image reconstruction, image processing and feature detection in a variety of imaging modalities. Outcomes from Dr. Nano's work are being used in industry and translated to clinics. Dr. Nano's research work has resulted in 7 peer reviewed manuscripts (to journals such as Medical Physics), 2 book chapters, and more than 20 conference presentation. During residency, Dr. Nano will use expertise in medical imaging and computer science to develop a mathematical framework that address challenges of translatability, interpretability and robustness of machine and deep learning predictions in radiation oncology. The overarching goal is to improve patient outcomes and reduce side effects of radiation treatment.

    Dr. Nano's clinical responsibility is physics support of radiotherapy. During his residency training, he has contributed to installation, commissioning, maintenance and quality assurance of equipment and procedures used in radiation treatment planning and delivery. Highlights of Dr. Nano's clinical development work at UCSF include: 1) implementing quality assurance reporting of treatments with motion management, and 2) evaluation of inter- and intra- fraction motion during SBRT treatments.
    Collapse Websites

    Collapse Bibliographic 
    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
    Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. End-to-end validation of fiducial tracking accuracy in robotic radiosurgery using MRI-only simulation imaging. Med Phys. 2024 Jan; 51(1):31-41. Singhrao K, Zubair M, Nano T, Scholey JE, Descovich M. PMID: 38055419.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    2. A Couch Mounted Smartphone-based Motion Monitoring System for Radiation Therapy. Pract Radiat Oncol. 2024 Mar-Apr; 14(2):161-170. Capaldi DPI, Axente M, Yu AS, Prionas ND, Hirata E, Nano TF. PMID: 38052299.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    3. Predicting the Effect of Proton Beam Therapy Technology on Pulmonary Toxicities for Patients With Locally Advanced Lung Cancer Enrolled in the Proton Collaborative Group Prospective Clinical Trial. Int J Radiat Oncol Biol Phys. 2023 Nov 23. Valdes G, Scholey J, Nano TF, Gennatas ED, Mohindra P, Mohammed N, Zeng J, Kotecha R, Rosen LR, Chang J, Tsai HK, Urbanic JJ, Vargas CE, Yu NY, Ungar LH, Eaton E, Simone CB. PMID: 38000701.
      View in: PubMed   Mentions: 1     Fields:    
    4. Tungsten Filled 3-Dimensional Printed Lung Blocks for Total Body Irradiation. Pract Radiat Oncol. 2023 Nov 18. Capaldi DPI, Gibson C, Villa A, Schulz JB, Ziemer BP, Fu J, Dubrowski P, Yu AS, Fogh S, Chew J, Boreta L, Braunstein SE, Witztum A, Hirata E, Morin O, Skinner LB, Nano TF. PMID: 37981253.
      View in: PubMed   Mentions:    Fields:    
    5. A systematic review and meta-analysis of liver tumor position variability during SBRT using various motion management and IGRT strategies. Radiother Oncol. 2022 01; 166:195-202. Sharma M, Nano TF, Akkati M, Milano MT, Morin O, Feng M. PMID: 34843841.
      View in: PubMed   Mentions: 8     Fields:    Translation:Humans
    6. Stereotactic Body Radiation Therapy and High-Dose-Rate Brachytherapy Boost in Combination With Intensity Modulated Radiation Therapy for Localized Prostate Cancer: A Single-Institution Propensity Score Matched Analysis. Int J Radiat Oncol Biol Phys. 2021 06 01; 110(2):429-437. Chen WC, Li Y, Lazar A, Altun A, Descovich M, Nano T, Ziemer B, Sudhyadhom A, Cunha A, Thomas H, Gottschalk A, Hsu IC, Roach M. PMID: 33385496.
      View in: PubMed   Mentions: 6     Fields:    Translation:Humans
    7. Technical Note: Performance of CyberKnife® tracking using low-dose CT and kV imaging. Med Phys. 2020 Dec; 47(12):6163-6170. Nano TF, Capaldi DPI, Yeung T, Chuang CF, Wang L, Descovich M. PMID: 33064863.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    8. Technical Note: Evaluation of audiovisual biofeedback smartphone application for respiratory monitoring in radiation oncology. Med Phys. 2020 Nov; 47(11):5496-5504. Capaldi DPI, Nano TF, Zhang H, Skinner LB, Xing L. PMID: 32969075; PMCID: PMC7722016.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    9. MTF and DQE enhancement using an apodized-aperture x-ray detector design. Med Phys. 2017 Sep; 44(9):4525-4535. Nano TF, Escartin T, Ismailova E, Karim KS, Lindström J, Kim HK, Cunningham IA. PMID: 28636792.
      View in: PubMed   Mentions: 1     Fields:    Translation:HumansAnimals
    10. A novel x-ray detector design with higher DQE and reduced aliasing: Theoretical analysis of x-ray reabsorption in detector converter material. 2016; 18(9783):305-314. Tomi Nano, Terenz Escartin, Karim S. Karim, Ian A. Cunningham. View Publication.
    Tomi's Networks
    Concepts (45)
    Derived automatically from this person's publications.
    Co-Authors (23)
    People in Profiles who have published with this person.
    Similar People (60)
    People who share similar concepts with this person.
    Same Department
    Search Department