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View the grants, clinical trials and publications from the Machine Learning Department.

  • Grants

    • Medical Imaging and Data Resource Center (MIDRC) for Rapid Response to COVID-19 Pandemic
      Sponsor: Nat Institutes of Health
      PI:El Naqa, I.
    • Combined Radiation Acoustics and Ultrasound Imaging for Real-Time Guidance in Radiotherapy
      Sponsor: Nat Institutes of Health
      PI:El Naqa, I.
    • Optimal Decision Making in Radiotherapy Using Panomics Analytics
      Sponsor: Nat Institutes of Health
      PI:El Naqa, I.
    • Federated Learning for Optimal Decision Making in Radiotherapy Using Panomics Analytics
      Sponsor: Nat Institutes of Health
      PI:El Naqa, I.
    • An Ionizing Radiation Acoustics Imaging (iRAI) Approach for Guided Flash Radiotherapy
      Sponsor: Nat Institutes of Health
      PI:El Naqa, I.
    • Data Science to Improve Treatment Planning for Advanced Prostate Cancer Patients Treated with Radiotherapy
      Sponsor: US Army
      PI:El Naqa, I.
    • PFI-TT: Trustworthy Artificial Intelligence for the Volumetric Evaluation of Brain Tumors - Robust Learning for Medical Image Segmentation
      Sponsor: Nat Science Foundation
      PI:Rasool, G.,CO-PI:Rieger, J.
    • SCenE - Self-Assessment and Continual Learning on Edge Devices
      Sponsor: Nat Science Foundation
      PI:Rasool, G.
    • Artificial Intelligence for Effective MR-Linac Adaptive Radiotherapy
      Sponsor: ViewRay Technologies
      PI:El Naqa, I.,CO-PI:Rosenberg, S.
    • I-Corps Teams: Detecting Performance Degradation and Failures of Deep Neural Networks in Cancer Imaging
      Sponsor: Nat Science Foundation
      PI:Rasool, G.
    • Automated De-Identification of Pathology and Radiology Data
      Sponsor: Nat Institutes of Health
      PI:Rasool, G.,CO-PI:Folio, L.,CO-PI:Bui, M.,CO-PI:Farinhas, J.
    • Identifying Community-based Interventions to Improve Florida African American Eligible Patients’ Participation and Adherence to Lung Cancer Screening in Their Screening Deserts and Incidence Hotspots based on Fair Artificial Intelligence and Geospatial Analysis
      Sponsor: Moffitt Cancer Center
      PI:Luo, Y.,CO-PI:Byrne, M.
    • Use Machine Learning to Identify Novel Image-Based Markers That Can Distinguish Between ICUS, CCUS, and MDS and Aid in the Prediction of Disease Evolution, Survival, and Genetic Evolution in Patients with Pre-MDS Condition and MDS
      Sponsor: Evans Fdtn.
      PI:El Naqa, I.,CO-PI:Komrokji, R.

  • Clinical Trials

    CLINICAL TRIAL 21525
    A Feasibility Study of Genomically Guided Radiation Dose Personalization in the Management of Locally Advanced Non-Small Cell Lung Cancer
    Condition: Thoracic
    Intervention: Radiotherapy ()

    CLINICAL TRIAL 21681
    A Safety Run-In and Phase II Study Evaluating the Efficacy, Safety, and Impact on the Tumor Microenvironment of the Combination of Tocilizumab, Atezolizumab, and Fractionated Stereotactic Radiotherapy in Recurrent Glioblastoma
    Condition: Neurologic Oncology
    Intervention: Atezolizumab (Tecentriq); Radiotherapy (); Tocilizumab ()

    CLINICAL TRIAL 23105
    Evaluating the Safety, Reliability, and Utility of AI Chatbots in Providing Cancer-Related Information
    Condition: Multiple
    Intervention:

    CLINICAL TRIAL 23212
    Machine Learning for Precision Oncology
    Condition: Multiple
    Intervention:

  • Publications

    • Tripathi A, Waqas A, Rasool G. BIO24-030: Unifying Multimodal Data, Time Series Analytics, and Contextual Medical Memory: Introducing MINDS as an Oncology-Centric Cloud-Based Platform. J Natl Compr Canc Ne. 2024 Apr.22(2.5). Pubmedid: 38580264.
    • Ahmed S, Parker N, Rasool G. BIO24-032: Early Diagnosis of Cancer Cachexia Using Body Composition Index as the Radiographic Biomarker. J Natl Compr Canc Ne. 2024 Apr.22(2.5). Pubmedid: 38579796.
    • Waqas A, Tripathi A, Mukund A, Stewart P, Naeini M, Rasool G. BIO24-031: Hierarchical Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. J Natl Compr Canc Ne. 2024 Apr.22(2.5). Pubmedid: 38579762.
    • Niraula D, El Naqa I, Tuszynski JA, Gatenby RA. Modeling non-genetic information dynamics in cells using reservoir computing. iScience. 2024 Apr.27(4):109614. Pubmedid: 38632985. Pmcid: PMC11022048.
    • Sikora A, Sullivan KM, Dineen S, Raoof M, Karolak A. Emerging therapeutic approaches for peritoneal metastases from gastrointestinal cancers. Mol Ther Oncol. 2024 Mar.32(1):200767. Pubmedid: 38596287. Pmcid: PMC10873742.
    • Tripathi A, Waqas A, Venkatesan K, Yilmaz Y, Rasool G. Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors (Basel). 2024 Mar.24(5). Pubmedid: 38475170. Pmcid: PMC10933897.
    • Dudas D, Dilling TJ, El Naqa I. Improved outcome models with denoising diffusion. Phys Med. 2024 Mar.119:103307. Pubmedid: 38325221. Pmcid: PMC10939775.
    • Jeong D, Morse B, Polk SL, Chen DT, Li J, Hodul P, Centeno BA, Costello J, Jiang K, Machado S, El Naqa I, Farah PT, Huynh T, Raghunand N, Mok S, Dam A, Malafa M, Qayyum A, Fleming JB, Permuth JB. Pancreatic Cyst Size Measurement on Magnetic Resonance Imaging Compared to Pathology. Cancers (Basel). 2024 Jan.16(1). Pubmedid: 38201633. Pmcid: PMC10778543.
    • Dudas D, Saghand PG, Dilling TJ, Perez BA, Rosenberg SA, Naqa IE. Deep Learning-Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys. 2023 Dec. Pubmedid: 38056778.
    • Connor M, Salans M, Karunamuni R, Unnikrishnan S, Huynh-Le MP, Tibbs M, Qian A, Reyes A, Stasenko A, McDonald C, Moiseenko V, El-Naqa I, Hattangadi-Gluth J. Fine Motor Skill Decline After Brain Radiation Therapy-A Multivariate Normal Tissue Complication Probability Study of a Prospective Trial. Int J Radiat Oncol Biol Phys. 2023 Nov.117(3):581-593. Pubmedid: 37150258.
    • Waqas A, Bui MM, Glassy EF, El Naqa I, Borkowski P, Borkowski AA, Rasool G. Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models. Lab Invest. 2023 Nov.103(11):100255. Pubmedid: 37757969.
    • Yedjou CG, Webster S, Osborne D, Liu J, Balagurunathan Y, Odewuni C, Latinwo L, Ngnepiepa P, Alo R, Tchounwou PB. Health Promotion and Racial Disparity in COVID-19 Mortality Among African American Populations. Rep Glob Health Res. 2023 Nov.6(3). Pubmedid: 37946735. Pmcid: PMC10634601.
    • El Naqa I, Karolak A, Luo Y, Folio L, Tarhini AA, Rollison D, Parodi K. Translation of AI into oncology clinical practice. Oncogene. 2023 Oct.42(42):3089-3097. Pubmedid: 37684407.
    • Amorrortu R, Garcia M, Zhao Y, El Naqa I, Balagurunathan Y, Chen DT, Thieu T, Schabath MB, Rollison DE. Overview of approaches to estimate real-world disease progression in lung cancer. JNCI Cancer Spectr. 2023 Oct.7(6). Pubmedid: 37738580. Pmcid: PMC10637832.
    • Baliga S, Patel S, Naqa IE, Li XA, Cohen LE, Howell RM, Hoppe BS, Constine LS, Palmer JD, Hamstra D, Olch AJ. Testicular Dysfunction in Male Childhood Cancer Survivors Treated With Radiation Therapy: A PENTEC Comprehensive Review. Int J Radiat Oncol Biol Phys. 2023 Oct. Pubmedid: 37791936.
    • Eljilany I, Saghand PG, Chen J, Ratan A, McCarter M, Carpten J, Colman H, Ikeguchi AP, Puzanov I, Arnold S, Churchman M, Hwu P, Conejo-Garcia J, Dalton WS, Weiner GJ, El Naqa IM, Tarhini AA. The T Cell Immunoscore as a Reference for Biomarker Development Utilizing Real-World Data from Patients with Advanced Malignancies Treated with Immune Checkpoint Inhibitors. Cancers (Basel). 2023 Oct.15(20). Pubmedid: 37894280. Pmcid: PMC10605389.
    • Naqa IE, Drukker K. AI in imaging and therapy: innovations, ethics, and impact - introductory editorial. Br J Radiol. 2023 Oct.96(1150):20239004. Pubmedid: 38011226. Pmcid: PMC10546442.
    • Weygand J, Armstrong T, Bryant JM, Andreozzi JM, Oraiqat IM, Nichols S, Liveringhouse CL, Latifi K, Yamoah K, Costello JR, Frakes JM, Moros EG, El Naqa IM, Naghavi AO, Rosenberg SA, Redler G. Accurate, repeatable, and geometrically precise diffusion-weighted imaging on a 0.35 T magnetic resonance imaging-guided linear accelerator. Phys Imaging Radiat Oncol. 2023 Oct.28:100505. Pubmedid: 38045642. Pmcid: PMC10692914.
    • Drabiak K, Kyzer S, Nemov V, El Naqa I. AI and machine learning ethics, law, diversity, and global impact. Br J Radiol. 2023 Oct.96(1150):20220934. Pubmedid: 37191072. Pmcid: PMC10546451.
    • Cui S, Traverso A, Niraula D, Zou J, Luo Y, Owen D, El Naqa I, Wei L. Interpretable artificial intelligence in radiology and radiation oncology. Br J Radiol. 2023 Oct.96(1150):20230142. Pubmedid: 37493248. Pmcid: PMC10546466.
    • Wei L, Niraula D, Gates EDH, Fu J, Luo Y, Nyflot MJ, Bowen SR, El Naqa IM, Cui S. Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration. Br J Radiol. 2023 Oct.96(1150):20230211. Pubmedid: 37660402. Pmcid: PMC10546458.
    • Wei L, Aryal MP, Cuneo K, Matuszak M, Lawrence TS, Ten Haken RK, Cao Y, Naqa IE. Deep learning prediction of post-SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE-MRI. Med Phys. 2023 Sep.50(9):5597-5608. Pubmedid: 36988423.
    • Zhang W, Oraiqat I, Litzenberg D, Chang KW, Hadley S, Sunbul NB, Matuszak MM, Tichacek CJ, Moros EG, Carson PL, Cuneo KC, Wang X, El Naqa I. Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment. Nat Biotechnol. 2023 Aug.41(8):1160-1167. Pubmedid: 36593414. Pmcid: PMC10314963.
    • Chamseddine I, Kim Y, De B, Naqa IE, Duda DG, Wolfgang JA, Pursley J, Wo JY, Hong TS, Paganetti H, Koay EJ, Grassberger C. Predictive Model of Liver Toxicity to Aid the Personalized Selection of Proton Versus Photon Therapy in Hepatocellular Carcinoma. Int J Radiat Oncol Biol Phys. 2023 Aug.116(5):1234-1243. Pubmedid: 36739920.
    • Akhavanallaf A, Peterson AB, Fitzpatrick K, Roseland M, Wong KK, El-Naqa I, Zaidi H, Dewaraja YK. The predictive value of pretherapy [68Ga]Ga-DOTA-TATE PET and biomarkers in [177Lu]Lu-PRRT tumor dosimetry. Eur J Nucl Med Mol Imaging. 2023 Aug.50(10):2984-2996. Pubmedid: 37171633.
    • Ger RB, Wei L, Naqa IE, Wang J. The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and Adaptation. Semin Radiat Oncol. 2023 Jul.33(3):252-261. Pubmedid: 37331780.
    • Epifano JR, Ramachandran RP, Masino AJ, Rasool G. Revisiting the fragility of influence functions. Neural Netw. 2023 May.162:581-588. Pubmedid: 37011460.