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Jun Deng, PhD

Professor of Therapeutic Radiology; Associate Director for Physics Research and Education, Therapeutic Radiology

Contact Information

Jun Deng, PhD

Office Location

Mailing Address

  • Therapeutic Radiology

    PO Box 208040

    New Haven, CT 06520-8040

    United States

Yale Smart Medicine Lab

Related Links

Research Summary

Dr. Deng’s research is primarily on two domains: artificial intelligence for precision medicine, and artificial intelligence for precision radiotherapy. In 2013 his group developed CT Gently, the world’s first iPhone App that can be used to estimate organ doses and associated cancer risks from CT and CBCT scans. In 2016 with a NIH R01 grant, Dr. Deng led the team to develop a personal organ dose archive (PODA), a big data approach to developing an early warning system to improve patient safety in radiation therapy. In 2019 funded by NSF, his team has been developing a generalizable data framework toward precision radiotherapy. Recently, Dr. Deng has joined a multi-institutional collaborative effort to develop digital twins for cancer patients, which has been funded by NCI in 2020 and DOE in 2021. In 2021, Dr. Deng has pioneered a new initiative towards individualized radiotherapy with patient engagement, an AI-empowered mobile health project funded by Yale Cancer Center. In 2022, Dr. Deng received an Amazon research grant to develop a mobile platform for remote monitoring of cancer patients using smart phone.


Specialized Terms: Precision Medicine; Precision Radiotherapy; Digital Twin; Multiscale Modeling; Clinical Decision Support; Big Data; Machine Learning; Artificial Intelligence; Medical Imaging; Cancer Screening, Detection, and Prevention; Risk Stratification.

Extensive Research Description

Dr. Deng's research has been focused on AI for precision medicine, and AI for precision radiotherapy. Some active projects are listed below:

  1. Early cancer detection via statistical analysis of personal health data;
  2. Artificial intelligence for clinical decision support;
  3. Machine learning with radiation oncology big data;
  4. A generalizable data framework toward precision radiotherapy;
  5. Multiscale digital twin modeling of cancer patients;
  6. AI-empowered mobile health and smart medicine.

Coauthors

Research Interests

Artificial Intelligence; Medical Informatics; Radiation Oncology; Public Health Informatics; Early Detection of Cancer; Machine Learning

Research Images

Insights in AI: Medicine and Public Health 2022
This Research Topic is part of the Insights in Artificial Intelligence series (https://www.frontiersin.org/research-topics/33669/insights-in-ai-medicine-and-public-health-2022)

Selected Publications

  • Validation of a Monte Carlo dose calculation tool for radiotherapy treatment planning.Li JS, Pawlicki T, Deng J, Jiang SB, Mok E, Ma CM. Validation of a Monte Carlo dose calculation tool for radiotherapy treatment planning. Physics In Medicine And Biology 2000, 45: 2969-85. PMID: 11049183.
  • Energy- and intensity-modulated electron beams for radiotherapy.Ma CM, Pawlicki T, Lee MC, Jiang SB, Li JS, Deng J, Yi B, Mok E, Boyer AL. Energy- and intensity-modulated electron beams for radiotherapy. Physics In Medicine And Biology 2000, 45: 2293-311. PMID: 10958195.
  • Photon beam characterization and modelling for Monte Carlo treatment planning.Deng J, Jiang SB, Kapur A, Li J, Pawlicki T, Ma CM. Photon beam characterization and modelling for Monte Carlo treatment planning. Physics In Medicine And Biology 2000, 45: 411-27. PMID: 10701512, DOI: 10.1088/0031-9155/45/2/311.
  • Monte Carlo verification of IMRT dose distributions from a commercial treatment planning optimization system.Ma CM, Pawlicki T, Jiang SB, Li JS, Deng J, Mok E, Kapur A, Xing L, Ma L, Boyer AL. Monte Carlo verification of IMRT dose distributions from a commercial treatment planning optimization system. Physics In Medicine And Biology 2000, 45: 2483-95. PMID: 11008950.
  • The MLC tongue-and-groove effect on IMRT dose distributions.Deng J, Pawlicki T, Chen Y, Li J, Jiang SB, Ma CM. The MLC tongue-and-groove effect on IMRT dose distributions. Physics In Medicine And Biology 2001, 46: 1039-60. PMID: 11324950, DOI: 10.1088/0031-9155/46/4/310.
  • Monte Carlo based treatment planning for modulated electron beam radiation therapy.Lee MC, Deng J, Li J, Jiang SB, Ma CM. Monte Carlo based treatment planning for modulated electron beam radiation therapy. Physics In Medicine And Biology 2001, 46: 2177-99. PMID: 11512618.
  • Derivation of electron and photon energy spectra from electron beam central axis depth dose curves.Deng J, Jiang SB, Pawlicki T, Li J, Ma CM. Derivation of electron and photon energy spectra from electron beam central axis depth dose curves. Physics In Medicine And Biology 2001, 46: 1429-49. PMID: 11384063, DOI: 10.1088/0031-9155/46/5/308.
  • A Monte Carlo investigation of fluence profiles collimated by an electron specific MLC during beam delivery for modulated electron radiation therapy.Deng J, Lee MC, Ma CM. A Monte Carlo investigation of fluence profiles collimated by an electron specific MLC during beam delivery for modulated electron radiation therapy. Medical Physics 2002, 29: 2472-83. PMID: 12462711, DOI: 10.1118/1.1513160.
  • A Monte Carlo dose calculation tool for radiotherapy treatment planning.Ma CM, Li JS, Pawlicki T, Jiang SB, Deng J, Lee MC, Koumrian T, Luxton M, Brain S. A Monte Carlo dose calculation tool for radiotherapy treatment planning. Physics In Medicine And Biology 2002, 47: 1671-89. PMID: 12069086.
  • Dose correlation for thoracic motion in radiation therapy of breast cancer.Ding M, Li J, Deng J, Fourkal E, Ma CM. Dose correlation for thoracic motion in radiation therapy of breast cancer. Medical Physics 2003, 30: 2520-9. PMID: 14528974, DOI: 10.1118/1.1603744.
  • A comparative dosimetric study on tangential photon beams, intensity-modulated radiation therapy (IMRT) and modulated electron radiotherapy (MERT) for breast cancer treatment.Ma CM, Ding M, Li JS, Lee MC, Pawlicki T, Deng J. A comparative dosimetric study on tangential photon beams, intensity-modulated radiation therapy (IMRT) and modulated electron radiotherapy (MERT) for breast cancer treatment. Physics In Medicine And Biology 2003, 48: 909-24. PMID: 12701895.
  • A quality assurance phantom for IMRT dose verification.Ma CM, Jiang SB, Pawlicki T, Chen Y, Li JS, Deng J, Boyer AL. A quality assurance phantom for IMRT dose verification. Physics In Medicine And Biology 2003, 48: 561-72. PMID: 12696795.
  • Commissioning 6 MV photon beams of a stereotactic radiosurgery system for Monte Carlo treatment planning.Deng J, Ma CM, Hai J, Nath R. Commissioning 6 MV photon beams of a stereotactic radiosurgery system for Monte Carlo treatment planning. Medical Physics 2003, 30: 3124-34. PMID: 14713079, DOI: 10.1118/1.1624753.
  • Modelling 6 MV photon beams of a stereotactic radiosurgery system for Monte Carlo treatment planning.Deng J, Guerrero T, Ma CM, Nath R. Modelling 6 MV photon beams of a stereotactic radiosurgery system for Monte Carlo treatment planning. Physics In Medicine And Biology 2004, 49: 1689-704. PMID: 15152924, DOI: 10.1088/0031-9155/49/9/007.
  • Limitations of silicon diodes for clinical electron dosimetry.Song H, Ahmad M, Deng J, Chen Z, Yue NJ, Nath R. Limitations of silicon diodes for clinical electron dosimetry. Radiation Protection Dosimetry 2006, 120: 56-9. PMID: 16772305, DOI: 10.1093/rpd/ncj007.
  • Potential impact of prostate edema on the dosimetry of permanent seed implants using the new 131Cs (model CS-1) seeds.Chen Z, Deng J, Roberts K, Nath R. Potential impact of prostate edema on the dosimetry of permanent seed implants using the new 131Cs (model CS-1) seeds. Medical Physics 2006, 33: 968-75. PMID: 16696473, DOI: 10.1118/1.2179170.
  • Evaluation of the EDR-2 film for relative dosimetry of high-energy photon and electron beams.Ahmad M, Chen Z, Song H, Deng J, Nath R. Evaluation of the EDR-2 film for relative dosimetry of high-energy photon and electron beams. Radiation Protection Dosimetry 2006, 120: 159-62. PMID: 16644932, DOI: 10.1093/rpd/ncj006.
  • Implementation of Monte Carlo Dose Calculation for CyberKnife treatment planningC. Ma, J. Li, J. Deng, and J. Fan, Implementation of Monte Carlo Dose Calculation for CyberKnife treatment planning, Journal of Physics: Conference Series, 102, 012016, 2008.
  • On the need to compensate for edema-induced dose reductions in preplanned (131)Cs prostate brachytherapy.Chen ZJ, Deng J, Roberts K, Nath R. On the need to compensate for edema-induced dose reductions in preplanned (131)Cs prostate brachytherapy. International Journal Of Radiation Oncology, Biology, Physics 2008, 70: 303-10. PMID: 17980500, PMCID: PMC2289996, DOI: 10.1016/j.ijrobp.2007.09.007.
  • Clinical implementation of enhanced dynamic wedges into the Pinnacle treatment planning system: Monte Carlo validation and patient-specific QA.Ahmad M, Deng J, Lund MW, Chen Z, Kimmett J, Moran MS, Nath R. Clinical implementation of enhanced dynamic wedges into the Pinnacle treatment planning system: Monte Carlo validation and patient-specific QA. Physics In Medicine And Biology 2009, 54: 447-65. PMID: 19098353, DOI: 10.1088/0031-9155/54/2/018.
  • CT scans in childhood and risk of leukaemia and brain tumours.Deng J, Zhang Y, Nath R, Bao S. CT scans in childhood and risk of leukaemia and brain tumours. Lancet 2012, 380: 1735; author reply 1736-7. PMID: 23158242, DOI: 10.1016/S0140-6736(12)61980-1.
  • Kilovoltage imaging doses in the radiotherapy of pediatric cancer patients.Deng J, Chen Z, Roberts KB, Nath R. Kilovoltage imaging doses in the radiotherapy of pediatric cancer patients. International Journal Of Radiation Oncology, Biology, Physics 2012, 82: 1680-8. PMID: 21477943, DOI: 10.1016/j.ijrobp.2011.01.062.
  • Testicular doses in image-guided radiotherapy of prostate cancer.Deng J, Chen Z, Yu JB, Roberts KB, Peschel RE, Nath R. Testicular doses in image-guided radiotherapy of prostate cancer. International Journal Of Radiation Oncology, Biology, Physics 2012, 82: e39-47. PMID: 21489702, DOI: 10.1016/j.ijrobp.2011.01.071.
  • Personalized estimation of dose to red bone marrow and the associated leukaemia risk attributable to pelvic kilo-voltage cone beam computed tomography scans in image-guided radiotherapy.Zhang Y, Yan Y, Nath R, Bao S, Deng J. Personalized estimation of dose to red bone marrow and the associated leukaemia risk attributable to pelvic kilo-voltage cone beam computed tomography scans in image-guided radiotherapy. Physics In Medicine And Biology 2012, 57: 4599-612. PMID: 22750636, DOI: 10.1088/0031-9155/57/14/4599.
  • Personalized assessment of kV cone beam computed tomography doses in image-guided radiotherapy of pediatric cancer patients.Zhang Y, Yan Y, Nath R, Bao S, Deng J. Personalized assessment of kV cone beam computed tomography doses in image-guided radiotherapy of pediatric cancer patients. International Journal Of Radiation Oncology, Biology, Physics 2012, 83: 1649-54. PMID: 22285667, DOI: 10.1016/j.ijrobp.2011.10.072.
  • Applications of low energy megavoltage X-ray beams in cancer radiotherapyY. Zhang, Y. Feng, and J. Deng, Applications of low energy megavoltage X-ray beams in cancer radiotherapy, British Journal of Medicine and Medical Research, 6(7): 661-674, 2015.
  • Cardiac Exposure in the Dynamic Conformal Arc Therapy, Intensity-Modulated Radiotherapy and Volumetric Modulated Arc Therapy of Lung Cancer.Ming X, Feng Y, Liu H, Zhang Y, Zhou L, Deng J. Cardiac Exposure in the Dynamic Conformal Arc Therapy, Intensity-Modulated Radiotherapy and Volumetric Modulated Arc Therapy of Lung Cancer. PloS One 2015, 10: e0144211. PMID: 26630566, PMCID: PMC4667972, DOI: 10.1371/journal.pone.0144211.
  • Intermediate Megavoltage Photon Beams for Improved Lung Cancer Treatments.Zhang Y, Feng Y, Ahmad M, Ming X, Zhou L, Deng J. Intermediate Megavoltage Photon Beams for Improved Lung Cancer Treatments. PloS One 2015, 10: e0145117. PMID: 26672752, PMCID: PMC4682946, DOI: 10.1371/journal.pone.0145117.
  • Dosimetric comparison of two arc-based stereotactic body radiotherapy techniques for early-stage lung cancer.Liu H, Ye J, Kim JJ, Deng J, Kaur MS, Chen ZJ. Dosimetric comparison of two arc-based stereotactic body radiotherapy techniques for early-stage lung cancer. Medical Dosimetry : Official Journal Of The American Association Of Medical Dosimetrists 2015, 40: 76-81. PMID: 25499078, DOI: 10.1016/j.meddos.2014.10.004.
  • Is it the time for personalized imaging protocols in cancer radiation therapy?Zhang Y, Feng Y, Zhang Y, Ming X, Yu J, Carlson DJ, Kim J, Deng J. Is it the time for personalized imaging protocols in cancer radiation therapy? International Journal Of Radiation Oncology, Biology, Physics 2015, 91: 659-60. PMID: 25680605, DOI: 10.1016/j.ijrobp.2014.10.044.
  • Concomitant Imaging Dose and Cancer Risk in Image Guided Thoracic Radiation Therapy.Zhang Y, Wu H, Chen Z, Knisely JP, Nath R, Feng Z, Bao S, Deng J. Concomitant Imaging Dose and Cancer Risk in Image Guided Thoracic Radiation Therapy. International Journal Of Radiation Oncology, Biology, Physics 2015, 93: 523-31. PMID: 26460994, DOI: 10.1016/j.ijrobp.2015.06.034.
  • In Reply to Wang et al.Zhang Y, Feng Y, Zhang Y, Ming X, Yu J, Carlson D, Kim J, Deng J. In Reply to Wang et al. International Journal Of Radiation Oncology, Biology, Physics 2015, 93: 211-3. PMID: 26279038, DOI: 10.1016/j.ijrobp.2015.04.010.
  • Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study.Zhang Y, Feng Y, Ming X, Deng J. Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study. BioMed Research International 2016, 2016: 7319843. PMID: 26977413, PMCID: PMC4763028, DOI: 10.1155/2016/7319843.
  • Radiation-induced heart disease in lung cancer radiotherapy: A dosimetric update.Ming X, Feng Y, Yang C, Wang W, Wang P, Deng J. Radiation-induced heart disease in lung cancer radiotherapy: A dosimetric update. Medicine 2016, 95: e5051. PMID: 27741117, PMCID: PMC5072944, DOI: 10.1097/MD.0000000000005051.
  • Novel Technologies for Improved Treatment Outcome and Patient Safety in Cancer Radiotherapy.Deng J, Feng Y, Ma C, Yin FF. Novel Technologies for Improved Treatment Outcome and Patient Safety in Cancer Radiotherapy. BioMed Research International 2016, 2016: 3016454. PMID: 27034929, PMCID: PMC4791494, DOI: 10.1155/2016/3016454.
  • Personalized and Conscientious Medical Imaging: To Image or Not to Image.Deng J. Personalized and Conscientious Medical Imaging: To Image or Not to Image. JAMA Oncology 2017, 3: 443-444. PMID: 27466980, PMCID: PMC5857946, DOI: 10.1001/jamaoncol.2016.2220.
  • Advances in the Decision to Image or Not to Image-Reply.Deng J, Kim JJ. Advances in the Decision to Image or Not to Image-Reply. JAMA Oncology 2017, 3: 565. PMID: 27930759, PMCID: PMC5858581, DOI: 10.1001/jamaoncol.2016.4849.
  • A measurement-based generalized source model for Monte Carlo dose simulations of CT scans.Ming X, Feng Y, Liu R, Yang C, Zhou L, Zhai H, Deng J. A measurement-based generalized source model for Monte Carlo dose simulations of CT scans. Physics In Medicine And Biology 2017, 62: 1759-1776. PMID: 28079526, PMCID: PMC5857954, DOI: 10.1088/1361-6560/aa5911.
  • Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.Roffman D, Hart G, Girardi M, Ko CJ, Deng J. Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network. Scientific Reports 2018, 8: 1701. PMID: 29374196, PMCID: PMC5786038, DOI: 10.1038/s41598-018-19907-9.
  • Lung Nodule Detection via Deep Reinforcement Learning.Ali I, Hart GR, Gunabushanam G, Liang Y, Muhammad W, Nartowt B, Kane M, Ma X, Deng J. Lung Nodule Detection via Deep Reinforcement Learning. Frontiers In Oncology 2018, 8: 108. PMID: 29713615, PMCID: PMC5912002, DOI: 10.3389/fonc.2018.00108.
  • Imaging Dose, Cancer Risk and Cost Analysis in Image-guided Radiotherapy of Cancers.Zhou L, Bai S, Zhang Y, Ming X, Zhang Y, Deng J. Imaging Dose, Cancer Risk and Cost Analysis in Image-guided Radiotherapy of Cancers. Scientific Reports 2018, 8: 10076. PMID: 29973695, PMCID: PMC6031630, DOI: 10.1038/s41598-018-28431-9.
  • A multi-parameterized artificial neural network for lung cancer risk prediction.Hart GR, Roffman DA, Decker R, Deng J. A multi-parameterized artificial neural network for lung cancer risk prediction. PloS One 2018, 13: e0205264. PMID: 30356283, PMCID: PMC6200229, DOI: 10.1371/journal.pone.0205264.
  • Editorial: Machine Learning With Radiation Oncology Big Data.Deng J, El Naqa I, Xing L. Editorial: Machine Learning With Radiation Oncology Big Data. Frontiers In Oncology 2018, 8: 416. PMID: 30319978, PMCID: PMC6170661, DOI: 10.3389/fonc.2018.00416.
  • Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification.Roffman DA, Hart GR, Leapman MS, Yu JB, Guo FL, Ali I, Deng J. Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification. JCO Clinical Cancer Informatics 2018, 2: 1-10. PMID: 30652591, PMCID: PMC6873987, DOI: 10.1200/CCI.17.00119.
  • Stratifying Ovarian Cancer Risk Using Personal Health DataHart GR, Nartowt BJ, Muhammad W, Liang Y, Huang GS and Deng J (2019) Stratifying Ovarian Cancer Risk Using Personal Health Data. Front. Big Data 2:24. doi: 10.3389/fdata.2019.00024
  • Pancreatic cancer prediction through an artificial neural networkMuhammad W, Hart GR, Nartowt B, Farrell JJ, Johung K, Liang Y and Deng J (2019) Pancreatic Cancer Prediction Through an Artificial Neural Network. Front. Artif. Intell. 2:2. doi: 10.3389/frai.2019.00002
  • Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.Nartowt BJ, Hart GR, Roffman DA, Llor X, Ali I, Muhammad W, Liang Y, Deng J. Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data. PloS One 2019, 14: e0221421. PMID: 31437221, PMCID: PMC6705772, DOI: 10.1371/journal.pone.0221421.
  • Predicting breast cancer risk using personal health data and machine learning models.Stark GF, Hart GR, Nartowt BJ, Deng J. Predicting breast cancer risk using personal health data and machine learning models. PloS One 2019, 14: e0226765. PMID: 31881042, PMCID: PMC6934281, DOI: 10.1371/journal.pone.0226765.
  • Beam modeling and beam model commissioning for Monte Carlo dose calculation-based radiation therapy treatment planning: Report of AAPM Task Group 157.Ma CMC, Chetty IJ, Deng J, Faddegon B, Jiang SB, Li J, Seuntjens J, Siebers JV, Traneus E. Beam modeling and beam model commissioning for Monte Carlo dose calculation-based radiation therapy treatment planning: Report of AAPM Task Group 157. Medical Physics 2020, 47: e1-e18. PMID: 31679157, DOI: 10.1002/mp.13898.
  • Monte Carlo simulation of coherently scattered photons based on the inverse-sampling technique.Muhammad W, Liang Y, Hart GR, Nartowt BJ, Deng J. Monte Carlo simulation of coherently scattered photons based on the inverse-sampling technique. Acta Crystallographica. Section A, Foundations And Advances 2020, 76: 70-78. PMID: 31908350, PMCID: PMC7045906, DOI: 10.1107/S2053273319014530.
  • A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation.Liang Y, Muhammad W, Hart GR, Nartowt BJ, Chen ZJ, Yu JB, Roberts KB, Duncan JS, Deng J. A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation. Scientific Reports 2020, 10: 9808. PMID: 32555530, PMCID: PMC7300009, DOI: 10.1038/s41598-020-66844-7.
  • Practice patterns and recommendations for pediatric image-guided radiotherapy: A Children's Oncology Group report.Hua CH, Vern-Gross TZ, Hess CB, Olch AJ, Alaei P, Sathiaseelan V, Deng J, Ulin K, Laurie F, Gopalakrishnan M, Esiashvili N, Wolden SL, Krasin MJ, Merchant TE, Donaldson SS, FitzGerald TJ, Constine LS, Hodgson DC, Haas-Kogan DA, Mahajan A, Laack NN, Marcus KJ, Taylor PA, Ahern VA, Followill DS, Buchsbaum JC, Breneman JC, Kalapurakal JA. Practice patterns and recommendations for pediatric image-guided radiotherapy: A Children's Oncology Group report. Pediatric Blood & Cancer 2020, 67: e28629. PMID: 32776500, PMCID: PMC7774502, DOI: 10.1002/pbc.28629.
  • Radiomics at a Glance: A Few Lessons Learned from Learning Approaches.Capobianco E, Deng J. Radiomics at a Glance: A Few Lessons Learned from Learning Approaches. Cancers 2020, 12 PMID: 32872466, PMCID: PMC7563283, DOI: 10.3390/cancers12092453.
  • Impact of radiation source activity on short- and long-term outcomes of cervical carcinoma patients treated with high-dose-rate brachytherapy: A retrospective cohort study.Li C, Li X, You J, Liang B, Su X, Huang Y, Chen Y, Hu Q, Deng J, Wang H, Pu Y, Liu H, Ma Y, Wang W, Wu H, Zhang Y. Impact of radiation source activity on short- and long-term outcomes of cervical carcinoma patients treated with high-dose-rate brachytherapy: A retrospective cohort study. Gynecologic Oncology 2020, 159: 365-372. PMID: 32933759, DOI: 10.1016/j.ygyno.2020.08.037.
  • A Preliminary Simulation Study of Dose-Guided Adaptive Radiotherapy Based on Halcyon MV Cone-Beam CT Images With Retrospective Data From a Phase II Clinical Trial.Huang Y, Wang H, Li C, Hu Q, Liu H, Deng J, Li W, Wang R, Wu H, Zhang Y. A Preliminary Simulation Study of Dose-Guided Adaptive Radiotherapy Based on Halcyon MV Cone-Beam CT Images With Retrospective Data From a Phase II Clinical Trial. Frontiers In Oncology 2020, 10: 574889. PMID: 33134173, PMCID: PMC7550711, DOI: 10.3389/fonc.2020.574889.
  • Stratifying Ovarian Cancer Risk Using Personal Health Data.Hart GR, Nartowt BJ, Muhammad W, Liang Y, Huang GS, Deng J. Stratifying Ovarian Cancer Risk Using Personal Health Data. Frontiers In Big Data 2019, 2: 24. PMID: 33693347, PMCID: PMC7931902, DOI: 10.3389/fdata.2019.00024.
  • Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification.Nartowt BJ, Hart GR, Muhammad W, Liang Y, Stark GF, Deng J. Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification. Frontiers In Big Data 2020, 3: 6. PMID: 33693381, PMCID: PMC7931964, DOI: 10.3389/fdata.2020.00006.
  • Pancreatic Cancer Prediction Through an Artificial Neural Network.Muhammad W, Hart GR, Nartowt B, Farrell JJ, Johung K, Liang Y, Deng J. Pancreatic Cancer Prediction Through an Artificial Neural Network. Frontiers In Artificial Intelligence 2019, 2: 2. PMID: 33733091, PMCID: PMC7861334, DOI: 10.3389/frai.2019.00002.
  • Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.Hart GR, Yan V, Huang GS, Liang Y, Nartowt BJ, Muhammad W, Deng J. Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence. Frontiers In Artificial Intelligence 2020, 3: 539879. PMID: 33733200, PMCID: PMC7861326, DOI: 10.3389/frai.2020.539879.
  • Editorial: Big Data Analytics for Precision Health and Prevention.Capobianco E, Deng J. Editorial: Big Data Analytics for Precision Health and Prevention. Frontiers In Big Data 2021, 4: 835353. PMID: 35098115, PMCID: PMC8790041, DOI: 10.3389/fdata.2021.835353.
  • Editorial: Artificial Intelligence for Precision Medicine.Deng J, Hartung T, Capobianco E, Chen JY, Emmert-Streib F. Editorial: Artificial Intelligence for Precision Medicine. Frontiers In Artificial Intelligence 2021, 4: 834645. PMID: 35128393, PMCID: PMC8814648, DOI: 10.3389/frai.2021.834645.
  • Tracing and Forecasting Metabolic Indices of Cancer Patients Using Patient-Specific Deep Learning Models.Hou J, Deng J, Li C, Wang Q. Tracing and Forecasting Metabolic Indices of Cancer Patients Using Patient-Specific Deep Learning Models. Journal Of Personalized Medicine 2022, 12 PMID: 35629164, DOI: 10.3390/jpm12050742.
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