Ghulam Rasool, PhD

Dr. Rasool's research is focused on building robust, trustworthy, safe, and fair AI for improving cancer care.  His lab is developing deep and machine learning models for integrating multi-modal, multi-resolution, heterogeneous datasets to answer clinically relevant questions and optimize treatment decisions for personalized cancer care.

Associations

• Neuro-Oncology
• Machine Learning
• Diagnostic Imaging and Interventional Radiology
• Cancer Epidemiology Program

Education & Training

Graduate:

• University of Arkansas at Little Rock, PhD - Systems Engineering
• Centre for Advanced Studies in Engineering, MSc - Computer Engineering

Fellowship:

• Shirley Ryan AbilityLab -

Dr. Rasool's research is focused on building robust, trustworthy, safe, and fair AI for improving cancer care.  His lab is developing deep and machine learning models for integrating multi-modal, multi-resolution, heterogeneous datasets to answer clinically relevant questions and optimize treatment decisions for personalized cancer care.

Clinical Trial 23812
AI-Driven Early Detection of Cachexia in Pancreatic Cancer and Feasibility of Diet and Exercise Interventions
Condition: Multiple
Status: Open

Clinical Trial 23952
Treatment Effect vs. Tumor Progression - Quantitative Analysis Using Machine Learning
Condition: Neurologic Oncology
Status: Open

If you believe you are eligible for one of these trials or studies, please call
813-745-6100 or toll-free 1-800-679-0775.

• Davis EW, Park MA, Basinski TL, Arnoletti JP, Bloomston M, Carson TL, Biachi De Castria T, Chen DT, Cortizas EM, Crowder SL, Genilo-Delgado M, Douglas WG, Huguet KL, Jiang K, Hodul PJ, Karolak A, Kim DW, Koomen JM, Menon AA, Mo Q, Mok SR, Molina-Vega MA, Moreno-Urazan L, Ahmed S, Parker NH, Pimiento JM, Rasool G, Sparks LM, Stewart PA, Tassielli AF, Teer JK, Trevino JG, Velanovich V, Wang X, Whelan CJ, Judge SM, Judge AR, Fleming JB, Malafa MP, Jeong D, Permuth JB. The Impact of Edema on Skeletal Muscle Changes among Patients with Pancreatic Ductal Adenocarcinoma. Cancer Epidemiol Biomarkers Prev. 2025 Sep.34(9):1609-1617. Pubmedid: 40553455.
• Ahmed S, Parker N, Park M, Davis EW, Jeong D, Permuth JB, Schabath MB, Yilmaz Y, Rasool G. Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia. medRxiv. 2025 Sep. Pubmedid: 41001462. Pmcid: PMC12458964.
• Flack D, Tripathi A, Waqas A, Rasool G, Dera D. Robust Multimodal Fusion for Survival Prediction in Cancer Patients. Cancer Inform. 2025 Sep.24. Pubmedid: 41024938. Pmcid: PMC12476512.
• Tripathi A, Waqas A, Schabath MB, Yilmaz Y, Rasool G. HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings. NPJ Digit Med. 2025 Oct.8(1):622. Pubmedid: 41131352. Pmcid: PMC12549884.
• Moassefi M, Houshmand S, Faghani S, Chang PD, Sun SH, Khosravi B, Triphati AG, Rasool G, Bhatia NK, Folio L, Andriole KP, Gichoya JW, Erickson BJ. Cross-Institutional Evaluation of Large Language Models for Radiology Diagnosis Extraction: A Prompt-Engineering Perspective. J Imaging Inform Med. 2025 May. Pubmedid: 40341981.
• Park MA, Whelan CJ, Ahmed S, Boeringer T, Brown J, Carson TL, Crowder SL, Gage K, Gregg C, Jeong DK, Jim HSL, Judge AR, Mason TM, Parker N, Pillai S, Qayyum A, Rajasekhara S, Rasool G, Tinsley SM, Schabath MB, Stewart P, West J, McDonald P, Permuth JB. Correction: Park et al. Defining and Addressing Research Priorities in Cancer Cachexia through Transdisciplinary Collaboration. Cancers 2024, 16, 2364. Cancers (Basel). 2025 Mar.17(6). Pubmedid: 40149388. Pmcid: PMC11941415.
• Koutsoubis N, Waqas A, Yilmaz Y, Ramachandran RP, Schabath MB, Rasool G. Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging. Radiol Artif Intell. 2025 Jul.7(4):e240637. Pubmedid: 40366260. Pmcid: PMC12319697.
• Tripathi A, Nielsen IE, Umer M, Ramachandran RP, Rasool G. Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts. ArXiv. 2025 Jul. Pubmedid: 40709306. Pmcid: PMC12288655.
• Waqas A, Tripathi A, Ahmed S, Mukund A, Farooq H, Johnson JO, Stewart PA, Naeini M, Schabath MB, Rasool G. Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication. Int J Mol Sci. 2025 Jul.26(15). Pubmedid: 40806487. Pmcid: PMC12347193.
• Permuth J, Park M, Davis E, Alhassan S, Arnoletti J, Basinski T, McKee A, Bloomston M, Carson T, de Castria TB, Chen DT, Cortizas E, Crowder S, Delgado MG, Douglas W, Fleming J, Hodul P, Huguet K, Jiang K, Kim DW, Koomen J, Luthra A, Malafa M, Menon A, Morales R, Merchant N, Meredith K, Mo Q, Molina-Vega M, Moreno-Urazan L, Olumoyin K, Parker N, Pimiento J, Rasool G, Rejniak K, Sansil S, Sparks L, Stewart P, Tassielli A, Teer J, Tran DV, Trevino J, Velanovich V, Whelan C, Jeong D, Judge S, Judge A. Race-based differences in serum biomarkers for cancer-associated cachexia in a diverse cohort of patients with pancreatic ductal adenocarcinoma. Res Sq. 2025 Feb. Pubmedid: 39989973. Pmcid: PMC11844656.
• Ahmed S, Parker N, Park M, Jeong D, Peres L, Davis EW, Permuth JB, Siegel E, Schabath MB, Yilmaz Y, Rasool G. Reliable Radiologic Skeletal Muscle Area Assessment - A Biomarker for Cancer Cachexia Diagnosis. medRxiv. 2025 Apr. Pubmedid: 40313262. Pmcid: PMC12045449.
• Ullah E, Baig MM, Waqas A, Rasool G, Singh R, Shandilya A, GholamHossieni H, Parwani AV. Multimodal Generative AI for Anatomic Pathology-A Review of Current Applications to Envisage the Future Direction. Adv Anat Pathol. 2025 Apr. Pubmedid: 40298358.
• Waqas A, Khan A, Ozturk ZG, Saeed-Vafa D, Chen W, Dhillon J, Bychkov A, Bui MM, Ullah E, Khalil F, Chumbalkar V, Jameel Z, Bittar HT, Singh RS, Parwani AV, Schabath MB, Rasool G. REASONING BEYOND ACCURACY: EXPERT EVALUATION OF LARGE LANGUAGE MODELS IN DIAGNOSTIC PATHOLOGY. medRxiv. 2025 Apr. Pubmedid: 40297448. Pmcid: PMC12036407.
• Tripathi A, Waqas A, Venkatesan K, Ullah E, Khan A, Khalil F, Chen WS, Ozturk ZG, Saeed-Vafa D, Bui MM, Schabath MB, Rasool G. Employing Consensus-Based Reasoning with Locally Deployed LLMs for Enabling Structured Data Extraction from Surgical Pathology Reports. medRxiv. 2025 Apr. Pubmedid: 40343037. Pmcid: PMC12060942.
• Brodsky V, Ullah E, Bychkov A, Song AH, Walk EE, Louis P, Rasool G, Singh RS, Mahmood F, Bui MM, Parwani AV. Generative Artificial Intelligence in Anatomic Pathology. Arch Pathol Lab Med. 2025 Apr.149(4):298-318. Pubmedid: 39836377.
• Hartsock I, Araujo C, Folio L, Rasool G. Improving Radiology Report Conciseness and Structure via Local Large Language Models. J Imaging Inform Med. 2025 Apr. Pubmedid: 40259201.
• Villanueva-Meyer JE, Bakas S, Tiwari P, Lupo JM, Calabrese E, Davatzikos C, Bi WL, Ismail M, Akbari H, Lohmann P, Booth TC, Wiestler B, Aerts HJWL, Rasool G, Tonn JC, Nowosielski M, Jain R, Colen RR, Pati S, Baid U, Vollmuth P, Macdonald D, Vogelbaum MA, Chang SM, Huang RY, Galldiks N. Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements. Lancet Oncol. 2024 Nov.25(11):e581-e588. Pubmedid: 39481414.
• Bakas S, Vollmuth P, Galldiks N, Booth TC, Aerts HJWL, Bi WL, Wiestler B, Tiwari P, Pati S, Baid U, Calabrese E, Lohmann P, Nowosielski M, Jain R, Colen R, Ismail M, Rasool G, Lupo JM, Akbari H, Tonn JC, Macdonald D, Vogelbaum M, Chang SM, Davatzikos C, Villanueva-Meyer JE, Huang RY. Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice. Lancet Oncol. 2024 Nov.25(11):e589-e601. Pubmedid: 39481415.
• Hartsock I, Rasool G. Vision-language models for medical report generation and visual question answering: a review. Front Artif Intell. 2024 Nov.7:1430984. Pubmedid: 39628839. Pmcid: PMC11611889.
• 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.
• Park MA, Whelan CJ, Ahmed S, Boeringer T, Brown J, Crowder SL, Gage K, Gregg C, Jeong DK, Jim HSL, Judge AR, Mason TM, Parker N, Pillai S, Qayyum A, Rajasekhara S, Rasool G, Tinsley SM, Schabath MB, Stewart P, West J, McDonald P, Permuth JB. Defining and Addressing Research Priorities in Cancer Cachexia through Transdisciplinary Collaboration. Cancers (Basel). 2024 Jun.16(13). Pubmedid: 39001427. Pmcid: PMC11240731.
• Mukund A, Afridi MA, Karolak A, Park MA, Permuth JB, Rasool G. Pancreatic Ductal Adenocarcinoma (PDAC): A Review of Recent Advancements Enabled by Artificial Intelligence. Cancers (Basel). 2024 Jun.16(12). Pubmedid: 38927945. Pmcid: PMC11201559.
• Permuth JB, Park MA, Chen DT, Basinski T, Powers BD, Gwede CK, Dezsi KB, Gomez M, Vyas SL, Biachi T, Cortizas EM, Crowder S, Genilo-Delgado M, Green BL, Greene A, Gregg C, Hoffe SE, Jiang K, Kim B, Vasudevan V, Garcialopez De Llano J, Menon AA, Mo Q, MorenoUrazan LM, Mok S, Parker N, Rajasekhara S, Rasool G, Sinnamon A, Sparks L, Stewart PA, Tardif K, Tassielli AF, Teer JK, Tran DV, Turner KL, Vadaparampil ST, Whelan CJ, Douglas WG, Velanovich V, Karachristos A, Legaspi A, Meredith K, Molina-Vega MA, Huguet KL, Arnoletti JP, Bloomston M, Trevino J, Merchant NB, Pimiento JM, Hodul PJ, Malafa M, Fleming J, Judge SM, Jeong DK, Judge A. Leveraging real-world data to predict cancer cachexia stage, quality of life, and survival in a racially and ethnically diverse multi-institutional cohort of treatment-naïve patients with pancreatic ductal adenocarcinoma. Front Oncol. 2024 Jul.14:1362244. Pubmedid: 39109281. Pmcid: PMC11300308.
• Waqas A, Tripathi A, Ramachandran RP, Stewart PA, Rasool G. Multimodal data integration for oncology in the era of deep neural networks: a review. Front Artif Intell. 2024 Jul.7:1408843. Pubmedid: 39118787. Pmcid: PMC11308435.
• 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.
• 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.
• Epifano JR, Ramachandran RP, Masino AJ, Rasool G. Revisiting the fragility of influence functions. Neural Netw. 2023 May.162:581-588. Pubmedid: 37011460.
• Ahmed S, Dera D, Hassan SU, Bouaynaya N, Rasool G. Failure Detection in Deep Neural Networks for Medical Imaging. Front Med Technol. 2022 Jul.4:919046. Pubmedid: 35958121. Pmcid: PMC9359318.
• Cahall DE, Rasool G, Bouaynaya NC, Fathallah-Shaykh HM. Inception Modules Enhance Brain Tumor Segmentation. Front Comput Neurosci. 2019 Jul.13:44. Pubmedid: 31354462. Pmcid: PMC6640210.
• Rasool G, Wang AB, Rymer WZ, Lee SSM. Shear Waves Reveal Viscoelastic Changes in Skeletal Muscles After Hemispheric Stroke. IEEE Trans Neural Syst Rehabil Eng. 2018 Oct.26(10):2006-2014. Pubmedid: 30334740. Pmcid: PMC6471515.
• Rasool G, Afsharipour B, Suresh NL, Rymer WZ. Spatial Analysis of Multichannel Surface EMG in Hemiplegic Stroke. IEEE Trans Neural Syst Rehabil Eng. 2017 Oct.25(10):1802-1811. Pubmedid: 28320672. Pmcid: PMC6492268.
• Rasool G, Iqbal K, Bouaynaya N, White G. Real-Time Task Discrimination for Myoelectric Control Employing Task-Specific Muscle Synergies. IEEE Trans Neural Syst Rehabil Eng. 2016 Jan.24(1):98-108. Pubmedid: 25769166.
• Rasool G, Afsharipour B, Suresh NL, Xiaogang Hu, Rymer WZ. Spatial analysis of muscular activations in stroke survivors. Annu Int Conf IEEE Eng Med Biol Soc. 2015 Dec.2015:6058-6061. Pubmedid: 26737673.
• Rasool G, Iqbal K. Muscle activity onset detection using energy detectors. Annu Int Conf IEEE Eng Med Biol Soc. 2012 Dec.2012:3094-3097. Pubmedid: 23366579.

• Title: Unified Data Commons Solution for Public Domain, In-House and Third-Party Multimodal Clinical Data
  Award Number: 75N91024C00069
  Sponsor: National Institutes of Health (NIH)
  Rasool, G. (PD/PI)
• Title: AI-Driven Early Detection of Cachexia in Pancreatic Cancer and Feasibility of Diet and Exercise Interventions
  Award Number: 25C62
  Sponsor: Florida Department of Health
  Rasool, G. (PD/PI), Parker, N. (Co-PD/PI), Permuth, J. (Co-PD/PI), Shafer, S. (Co-PD/PI)
• Title: SCenE - Self-Assessment and Continual Learning on Edge Devices
  Award Number: 2234836
  Sponsor: National Science Foundation (NSF)
  Rasool, G. (PD/PI)
• Title: Leveraging Electronic Health Record Clinical Notes to Understand Cancer Care Equity Among People with HIV and Cancer at Moffitt Cancer Center
  Award Number:
  Sponsor: Support Accounts-Oper
  Rasool, G. (PD/PI), Coghill, A. (Co-PD/PI), Islam, J. (Co-PD/PI)
• Title: Improving the Early Detection of Pancreatic Cancer by Developing a Multimodal Machine Learning Approach to Aid in Risk Stratification of Intraductal Papillary Mucinous Neoplasms (IPMNs)
  Award Number:
  Sponsor: Support Accounts-Oper
  Permuth, J. (PD/PI), Rasool, G. (PD/PI)
• Title: PFI-TT: Trustworthy Artificial Intelligence for the Volumetric Evaluation of Brain Tumors - Robust Learning for Medical Image Segmentation
  Award Number: 2234468
  Sponsor: National Science Foundation (NSF)
  Rasool, G. (PD/PI), Rieger, J. (Co-PD/PI)
• Title: Automated De-Identification of Pathology and Radiology Data
  Award Number: Federal Contract75N91023C00041
  Sponsor: National Cancer Institute (NCI)
  Rasool, G. (PD/PI), Bui, M. (Co-PD/PI), Farinhas, J. (Co-PD/PI), Schabath, M. (Co-PD/PI)