Rutgers School of Health Professions - Faculty Publications Since 2010: By Author

Rahem, S. M., Epsi, N. J., Coffman, F. D., & Mitrofanova, A. (2020). Genome-wide analysis of therapeutic response uncovers molecular pathways governing tamoxifen resistance in ER+ breast cancer. EBioMedicine, 61, 103047.

Ramamurthy, B., Cohen, S., Canales, M., & Coffman, F. D. (2018). Three-Dimensional Cellular Raman Analysis: Evidence of Highly Ordered Lipids Within Cell Nuclei. J Histochem Cytochem, 66(12), 889-902.

Ziarek, J. J., Kleist, A. B., London, N., Raveh, B., Montpas, N., Bonneterre, J., . . . Volkman, B. F. (2017). Structural basis for chemokine recognition by a G protein-coupled receptor and implications for

Ramamurthy, B., Coffman, F. D., & Cohen, S. (2015). A perspective on digital and computational pathology. J Pathol Inform, 6, 29.

DiCosmo-Ponticello, C. J., Hoover, D., Coffman, F. D., Cohen, S., & Cohen, M. C. (2014). MIF inhibits monocytic movement through a non-canonical receptor and disruption of temporal Rho GTPase activities in U-937 cells. Cytokine, 69(1), 47-55.

Hoover, D. J., Zhu, V., Chen, R., Briley, K., Jr., Rameshwar, P., Cohen, S., & Coffman, F. D. (2013). Expression of the chitinase family glycoprotein YKL-40 in undifferentiated, differentiated and trans-differentiated mesenchymal stem cells. PLoS One, 8(5), e62491.

Coffman, F. D., & Cohen, S. (2013). Impedance measurements in the biomedical sciences. Stud Health Technol Inform, 185, 185-205.

Coffman, F. D., & Cohen, S. (2012). Impedance measurements in the biomedical sciences. Anal Cell Pathol (Amst), 35(5-6), 363-374.

Coffman, F. D., Reyes, M. L., Brown, M., Lambert, W. C., & Cohen, S. (2011). Localization of ORC1 during the cell cycle in human leukemia cells. Anal Cell Pathol (Amst), 34(6), 355-361.

Alvarez, T. L., Scheiman, M., Santos, E. M., Morales, C., Yaramothu, C., D'Antonio-Bertagnolli, J. V., Biswal, B. B., Gohel, S., & Li, X. (2020). The Convergence Insufficiency Neuro-mechanism in Adult Population Study (CINAPS) Randomized Clinical Trial: Design, Methods, and Clinical Data. Ophthalmic Epidemiol, 27(1), 52-72.

Yang, J., Gohel, S., & Vachha, B. (2020). Current methods and new directions in resting state fMRI. Clin Imaging, 65, 47-53.

Yang, J., Gohel, S., Zhang, Z., Hatzoglou, V., Holodny, A. I., & Vachha, B. A. (2020). Glioma-Induced Disruption of Resting-State Functional Connectivity and Amplitude of Low-Frequency Fluctuations in the Salience Network. AJNR Am J Neuroradiol.

Morales, C., Gohel, S., Scheiman, M., Li, X., Santos, E. M., Sangoi, A., & Alvarez, T. L. (2020). Test-retest of a phoria adaptation stimulus-induced functional MRI experiment. J Vis, 20(8), 17.

Morales, C., Gohel, S., Li, X., Scheiman, M., Biswal, B. B., Santos, E. M., Yaramothu, C., & Alvarez, T. L. (2020). Test-Retest Reliability of Functional Magnetic Resonance Imaging Activation for a Vergence Eye Movement Task. Neurosci Bull, 36(5), 506-518.

Alvarez, T. L., Scheiman, M., Santos, E. M., Morales, C., Yaramothu, C., d'Antonio-Bertagnolli, J. V., . . . Li, X. (2019). Clinical and Functional Imaging Changes Induced from Vision Therapy in Patients with Convergence Insufficiency. Conf Proc IEEE Eng Med Biol Soc, 2019, 104-109

Kaku, S. M., Jayashankar, A., Girimaji, S. C., Bansal, S., Gohel, S., Bharath, R. D., & Srinath, S. (2019). Early childhood network alterations in severe autism. Asian J Psychiatr, 39, 114-119. doi:10.1016/j.ajp.2018.12.009

Bates, M. E., Lesnewich, L. M., Uhouse, S. G., Gohel, S., & Buckman, J. F. (2019). Resonance-Paced Breathing Alters Neural Response to Visual Cues: Proof-of-Concept for a Neuroscience-Informed Adjunct to Addiction Treatments. Front Psychiatry, 10, 624.

Gohel, S., Laino, M. E., Rajeev-Kumar, G., Jenabi, M., Peck, K., Hatzoglou, V., . . . Vachha, B. (2019). Resting-State Functional Connectivity of the Middle Frontal Gyrus Can Predict Language Lateralization in Patients with Brain Tumors. AJNR Am J Neuroradiol. doi:10.3174/ajnr.A5932

Egbert, A. R., Biswal, B., Karunakaran, K., Gohel, S., Pluta, A., Wolak, T., . . . Lojek, E. (2018). Age and HIV effects on resting state of the brain in relationship to neurocognitive functioning. Behav Brain Res, 344, 20-27. doi:10.1016/j.bbr.2018.02.007

Filbey, F. M., Gohel, S., Prashad, S., & Biswal, B. B. (2018). Differential associations of combined vs. isolated cannabis and nicotine on brain resting state networks. Brain Struct Funct, 223(7), 3317-3326.

Gohel, S., Gallego, J. A., Robinson, D. G., DeRosse, P., Biswal, B., & Szeszko, P. R. (2018). Frequency specific resting state functional abnormalities in psychosis. Hum Brain Mapp, 39(11), 4509-4518. doi:10.1002/hbm.24302

Toich, J. T. F., Taylor, P. A., Holmes, M. J., Gohel, S., Cotton, M. F., Dobbels, E., . . . Meintjes, E. M. (2018). Functional Connectivity Alterations between Networks and Associations with Infant Immune Health within Networks in HIV Infected Children on Early Treatment: A Study at 7 Years. Front Hum Neurosci, 11, 635. doi:10.3389/fnhum.2017.00635

Di, X., Gohel, S., Thielcke, A., Wehrl, H. F., & Biswal, B. B. (2017). Do all roads lead to Rome? A comparison of brain networks derived from inter-subject volumetric and metabolic covariance and moment-to-moment hemodynamic correlations in old individuals. Brain Struct Funct, 222(8), 3833-3845. doi:10.1007/s00429-017-1438-7

Fan, J., Taylor, P. A., Jacobson, S. W., Molteno, C. D., Gohel, S., Biswal, B. B., . . . Meintjes, E. M. (2017). Localized reductions in resting-state functional connectivity in children with prenatal alcohol exposure. Hum Brain Mapp, 38(10), 5217-5233. doi:10.1002/hbm.23726

Ray, S., Biswal, B. B., Aya, A., Gohel, S., Srinagesh, A., Hanson, C., & Hanson, S. J. (2017). Modeling Causal Relationships among Brain Areas in the Mesocorticolimbic System during Resting-State in Cocaine Users Utilizing a Graph Theoretic Approach. J Alcohol Drug Depend, 5(4). doi:10.4172/2329-6488.1000279

Bharath, R. D., Panda, R., Reddam, V. R., Bhaskar, M. V., Gohel, S., Bhardwaj, S., . . . Pal, P. K. (2017). A Single Session of rTMS Enhances Small-Worldness in Writer's Cramp: Evidence from Simultaneous EEG-fMRI Multi-Modal Brain Graph. Front Hum Neurosci, 11, 443. doi:10.3389/fnhum.2017.00443

Yuan, R., Di, X., Taylor, P. A., Gohel, S., Tsai, Y. H., & Biswal, B. B. (2016). Functional topography of the thalamocortical system in human. Brain Struct Funct, 221(4), 1971-1984. doi:10.1007/s00429-015-1018-7

Ray, S., Gohel, S., & Biswal, B. B. (2015). Altered Functional Connectivity Strength in Abstinent Chronic Cocaine Smokers Compared to Healthy Controls. Brain Connect, 5(8), 476-486. doi:10.1089/brain.2014.0240

Gohel, S. R., & Biswal, B. B. (2015). Functional integration between brain regions at rest occurs in multiple-frequency bands. Brain Connect, 5(1), 23-34. doi:10.1089/brain.2013.0210

Bharath, R. D., Munivenkatappa, A., Gohel, S., Panda, R., Saini, J., Rajeswaran, J., . . . Biswal, B. B. (2015). Recovery of resting brain connectivity ensuing mild traumatic brain injury. Front Hum Neurosci, 9, 513. doi:10.3389/fnhum.2015.00513

Bharath, R. D., Biswal, B. B., Bhaskar, M. V., Gohel, S., Jhunjhunwala, K., Panda, R., . . . Pal, P. K. (2015). Repetitive transcranial magnetic stimulation induced modulations of resting state motor connectivity in writer's cramp. Eur J Neurol, 22(5), 796-805, e753-794. doi:10.1111/ene.12653

Alvarez, T. L., Jaswal, R., Gohel, S., & Biswal, B. B. (2014). Functional activity within the frontal eye fields, posterior parietal cortex, and cerebellar vermis significantly correlates to symmetrical vergence peak velocity: an ROI-based, fMRI study of vergence training. Front Integr Neurosci, 8, 50. doi:10.3389/fnint.2014.00050

Jaswal, R., Gohel, S., Biswal, B. B., & Alvarez, T. L. (2014). Task-modulated coactivation of vergence neural substrates. Brain Connect, 4(8), 595-607. doi:10.1089/brain.2013.0216

Di, X., Gohel, S., Kim, E. H., & Biswal, B. B. (2013). Task vs. rest-different network configurations between the coactivation and the resting-state brain networks. Front Hum Neurosci, 7, 493. doi:10.3389/fnhum.2013.00493

Taylor, P. A., Gohel, S., Di, X., Walter, M., & Biswal, B. B. (2012). Functional covariance networks: obtaining resting-state networks from intersubject variability. Brain Connect, 2(4), 203-217. doi:10.1089/brain.2012.0095

Alkan, Y., Alvarez, T. L., Gohel, S., Taylor, P. A., & Biswal, B. B. (2011). Functional connectivity in vergence and saccade eye movement tasks assessed using Granger Causality analysis. Conf Proc IEEE Eng Med Biol Soc, 2011, 8114-8117. doi:10.1109/iembs.2011.6092001

Wang, J. H., Zuo, X. N., Gohel, S., Milham, M. P., Biswal, B. B., & He, Y. (2011). Graph theoretical analysis of functional brain networks: test-retest evaluation on short- and long-term resting-state functional MRI data. PLoS One, 6(7), e21976. doi:10.1371/journal.pone.0021976

Alvarez, T. L., Alkan, Y., Gohel, S., Douglas Ward, B., & Biswal, B. B. (2010). Functional anatomy of predictive vergence and saccade eye movements in humans: a functional MRI investigation. Vision Res, 50(21), 2163-2175. doi:10.1016/j.visres.2010.08.018

Biswal, B. B., Mennes, M., Zuo, X. N., Gohel, S., Kelly, C., Smith, S. M., . . . Milham, M. P. (2010). Toward discovery science of human brain function. Proc Natl Acad Sci U S A, 107(10), 4734-4739. doi:10.1073/pnas.0911855107

Alvarez, T. L., Vicci, V. R., Alkan, Y., Kim, E. H., Gohel, S., Barrett, A. M., . . . Biswal, B. B. (2010). Vision therapy in adults with convergence insufficiency: clinical and functional magnetic resonance imaging measures. Optom Vis Sci, 87(12), E985-1002. doi:10.1097/OPX.0b013e3181fef1aa

Zang, Q., Keire, D. A., Buhse, L. F., Wood, R. D., Mital, D. P., Haque, S., . . . Welsh, W. J. (2011). Identification of heparin samples that contain impurities or contaminants by chemometric pattern recognition analysis of proton NMR spectral data. Anal Bioanal Chem, 401(3), 939-955. doi:10.1007/s00216-011-5155-4

Epsi, N. J., Panja, S., & Mitrofanova, A. (2021) CHAPTER 5: Big Data and Its Emerging Role in Precision Medicine and Therapeutic Response. In: Vol. 2021-January. RSC Detection Science (pp. 88-116).

Martingano, D., Singh, S., & Mitrofanova, A. (2020). Azithromycin in the Treatment of Preterm Prelabor Rupture of Membranes Demonstrates a Lower Risk of Chorioamnionitis and Postpartum Endometritis with an Equivalent Latency Period Compared with Erythromycin Antibiotic Regimens. Infect Dis Obstet Gynecol, 2020.

Shibata, M., Epsi, N. J., Xuan, S., Mitrofanova, A., & Shen, M. M. (2020). Bipotent Progenitors Do Not Require Androgen Receptor for Luminal Specification during Prostate Organogenesis. Stem Cell Reports, 15(5), 1026-1036.

Martingano, D., Nguyen, A., Nkeih, C., Singh, S., & Mitrofanova, A. (2020). Clarithromycin use for adjunct surgical prophylaxis before non-elective cesarean deliveries to adapt to azithromycin shortages in COVID-19 pandemic. PloS one, 15(12), e0244266.

Rahem, S. M., Epsi, N. J., Coffman, F. D., & Mitrofanova, A. (2020). Genome-wide analysis of therapeutic response uncovers molecular pathways governing tamoxifen resistance in ER+ breast cancer. EBioMedicine, 61, 103047.

Arriaga, J. M., Panja, S., Alshalalfa, M., Zhao, J., Zou, M., Giacobbe, A., Madubata, C. J., Kim, J. Y., Rodriguez, A., Coleman, I., Virk, R. K., Hibshoosh, H., Ertunc, O., Ozbek, B., Fountain, J., Jeffrey Karnes, R., Luo, J., Antonarakis, E. S., Nelson, P. S., Feng, F. Y., Rubin, M. A., De Marzo, A. M., Rabadan, R., Sims, P. A., Mitrofanova, A., & Abate-Shen, C. (2020). A MYC and RAS co-activation signature in localized prostate cancer drives bone metastasis and castration resistance [Article]. Nature Cancer, 1(11), 1082-1096.

Bohannan, Z. S., & Mitrofanova, A. (2019). Calling Variants in the Clinic: Informed Variant Calling Decisions Based on Biological, Clinical, and Laboratory Variables. Comput Struct Biotechnol J, 17, 561-569.

Epsi, N. J., Panja, S., Pine, S. R., & Mitrofanova, A. (2019). pathCHEMO, a generalizable computational framework uncovers molecular pathways of chemoresistance in lung adenocarcinoma. Communications Biology, 2(1).

Pastore, R. L., Murray, J. A., Coffman, F. D., Mitrofanova, A., & Srinivasan, S. (2019). Physician Review of a Celiac Disease Risk Estimation and Decision-Making Expert System. J Am Coll Nutr, 1-7.

Dillon, L. W., Hayati, S., Roloff, G. W., Tunc, I., Pirooznia, M., Mitrofanova, A., & Hourigan, C. S. (2019). Targeted RNA-sequencing for the quantification of measurable residual disease in acute myeloid leukemia. Haematologica, 104(2), 297-304.

Le Magnen, C., Virk, R. K., Dutta, A., Kim, J. Y., Panja, S., Lopez-Bujanda, Z. A., . . . Abate-Shen, C. (2018). Cooperation of loss of NKX3.1 and inflammation in prostate cancer initiation. DMM Disease Models and Mechanisms, 11(11). doi:10.1242/dmm.035139

Chua, C. W., Epsi, N. J., Leung, E. Y., Xuan, S., Lei, M., Li, B. I., . . . Shen, M. M. (2018). Differential requirements of androgen receptor in luminal progenitors during prostate regeneration and tumor initiation. eLife, 7. doi:10.7554/eLife.28768.001

Panja, S., Hayati, S., Epsi, N. J., Parrott, J. S., & Mitrofanova, A. (2018). Integrative (epi) Genomic Analysis to Predict Response to Androgen-Deprivation Therapy in Prostate Cancer. EBioMedicine, 31, 110-121. doi:10.1016/j.ebiom.2018.04.007.

Aytes, A., Giacobbe, A., Mitrofanova, A., Ruggero, K., Cyrta, J., Arriaga, J., . . . Abate-Shen, C. (2018). NSD2 is a conserved driver of metastatic prostate cancer progression. Nature Communications, 9(1). doi:10.1038/s41467-018-07511-4

Dutta, A., Panja, S., Virk, R. K., Kim, J. Y., Zott, R., Cremers, S., . . . Abate-Shen, C. (2017). Co-clinical Analysis of a Genetically Engineered Mouse Model and Human Prostate Cancer Reveals Significance of NKX3.1 Expression for Response to 5alpha-reductase Inhibition. Eur Urol, 72(4), 499-506. doi:10.1016/j.eururo.2017.03.031

Talos, F., Mitrofanova, A., Bergren, S. K., Califano, A., & Shen, M. M. (2017). A computational systems approach identifies synergistic specification genes that facilitate lineage conversion to prostate tissue. Nature Communications, 8. Article Number 14662. doi:10.1038/ncomms14662

Dutta, A., Le Magnen, C., Mitrofanova, A., Ouyang, X., Califano, A., & Abate-Shen, C. (2016). Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation. Science, 352(6293), 1576-1580. doi:10.1126/science.aad9512

Sulley, S., & Ndanga, M. (2020). Inpatient Opioid Use Disorder and Social Determinants of Health: A Nationwide Analysis of the National Inpatient Sample (2012-2014 and 2016-2017). Cureus, 12(11), e11311.

Ndanga, M., & Srinivasan, S. (2019). Analysis of Hospitalization Length of Stay and Total Charges for Patients with Drug Abuse Comorbidity. Cureus, 11(12), e6516.

Sulley, S., & Ndanga, M. (2019). Pediatric pneumonia: An analysis of cost & outcome influencers in the United States. Int J Pediatr Adolesc Med, 6(3), 79-86.

Nagle, K., Tafuto, B., Palladino Kim, L., & Parrott, J. S. (2018). Effect of transplant status in CD19-targeted CAR T-cell therapy: a systematic review and meta-analysis. Med Oncol, 35(11), 144. doi:10.1007/s12032-018-1204-6

Kim, L. P. (2013). Don’t Get Caught off Guard: Meeting Tips for DIA’s Annual Meeting. Global Forum, 5(1), 96-97.

Kim, L. P., Stuart, J. N., Schultz, D., & Boiani, J. A. (2013). Summary of DIA workshop on Co-Development of personalized medicine and in vitro diagnostic companion devices. Therapeutic Innovation and Regulatory Science, 47(3), 294-298. doi:10.1177/2168479013483136

Kim, L. P., Johnson, O., & O'Neill, B. (2012). Operational Input from Investigators for Protocol Feasibility Assessment. Journal of Clinical Research Best Practices., 8(12).

Ray, S. (2017). Examining Brain Networks in Prescription Opioid Users. J Alcohol Drug Depend, 5(2).

Ray, S., Biswal, B. B., Aya, A., Gohel, S., Srinagesh, A., Hanson, C., & Hanson, S. J. (2017). Modeling Causal Relationships among Brain Areas in the Mesocorticolimbic System during Resting-State in Cocaine Users Utilizing a Graph Theoretic Approach. J Alcohol Drug Depend, 5(4). doi:10.4172/2329-6488.1000279

Nguyen-Louie, T. T., Buckman, J. F., Ray, S., & Bates, M. E. (2016). Drinkers' memory bias for alcohol picture cues in explicit and implicit memory tasks. Drug Alcohol Depend, 160, 90-96

Ray, S., Di, X., & Biswal, B. B. (2016). Effective Connectivity within the Mesocorticolimbic System during Resting-State in Cocaine Users. Front Hum Neurosci, 10, 563.

Ray, S., Gohel, S., & Biswal, B. B. (2015). Altered Functional Connectivity Strength in Abstinent Chronic Cocaine Smokers Compared to Healthy Controls. Brain Connect, 5(8), 476-486. doi:10.1089/brain.2014.0240

Ray, S., Haney, M., Hanson, C., Biswal, B., & Hanson, S. J. (2015). Modeling Causal Relationship Between Brain Regions Within the Drug-Cue Processing Network in Chronic Cocaine Smokers. Neuropsychopharmacology, 40(13), 2960-2968

Ray, S., Pandina, R., & Bates, M. E. (2014). Memory for drug-related visual stimuli in young adult, cocaine-dependent polydrug users. Am J Drug Alcohol Abuse, 40(2), 170-175.

Lehrer, P., Buckman, J. F., Mun, E. Y., Vaschillo, E. G., Vaschillo, B., Udo, T., . . . Bates, M. E. (2013). Negative mood and alcohol problems are related to respiratory dynamics in young adults. Appl Psychophysiol Biofeedback, 38(4), 273-283.

Ray, S. (2012). Cocaine, Appetitive Memory and Neural Connectivity. J Clin Toxicol, 2012(Suppl 7), 003.

Ray, S., Mun, E. Y., Buckman, J. F., Udo, T., & Bates, M. E. (2012). Memory for emotional picture cues during acute alcohol intoxication. J Stud Alcohol Drugs, 73(5), 718-725.

Ray, S., Hanson, C., Hanson, S. J., & Bates, M. E. (2010). fMRI BOLD response in high-risk college students (Part 1): during exposure to alcohol, marijuana, polydrug and emotional picture cues. Alcohol Alcohol, 45(5), 437-443.

Ray, S., Hanson, C., Hanson, S. J., Rahman, R. M., & Bates, M. E. (2010). fMRI BOLD response of high-risk college students (Part 2): during memory priming of alcohol, marijuana and polydrug picture cues. Alcohol Alcohol, 45(5), 444-448.

Pattabiraman, S., Vyas, R., & Srinivasan, S. (2020). Dietary macro-nutrients intake and risk of obesity and type 2 diabetes: To compute a model to predict probability of developing hypertrophic obesity and type 2 diabetes based on the macro-nutrient intake levels [Article]. International Journal of Medical Engineering and Informatics, 12(5), 457-474.

Potter, A. W., Hunt, A. P., Cadarette, B. S., Fogarty, A., Srinivasan, S., Santee, W. R., . . . Looney, D. P. (2019). Heat Strain Decision Aid (HSDA) accurately predicts individual-based core body temperature rise while wearing chemical protective clothing. Comput Biol Med, 107, 131-136.

Potter, A. W., Looney, D. P., Santee, W. R., Gonzalez, J. A., Welles, A. P., Srinivasan, S., . . . Xu, X. (2020). Validation of new method for predicting human skin temperatures during cold exposure: The Cold Weather Ensemble Decision Aid (CoWEDA). Informatics in Medicine Unlocked, 18.

Ndanga, M., & Srinivasan, S. (2019). Analysis of Hospitalization Length of Stay and Total Charges for Patients with Drug Abuse Comorbidity. Cureus, 11(12), e6516.

Pastore, R. L., Murray, J. A., Coffman, F. D., Mitrofanova, A., & Srinivasan, S. (2019). Physician Review of a Celiac Disease Risk Estimation and Decision-Making Expert System. J Am Coll Nutr, 1-7.

Alqahtani, K. S., Srinivasan, S., & Mital, D. P. (2017). Artificial neural network as classification method for prostate cancer incidence. International Journal of Medical Engineering and Informatics, 9(1), 61-72.

Alamoudi, A. O., & Srinivasan, S. (2017). The importance of American College of Raiologists’ (ACR) compliance with respect to imaging and intervention protocols for reducing in-hospital mortality rate due to the aortic aneurysm. Australasian Medical Journal, 10(4), 293-303.

Zhou, D., Mital, D. P., Srinivasan, S., & Shibata, M. (2017). Penalised Cox regression models for survival data. International Journal of Medical Engineering and Informatics, 9(1), 1-19.

Shah, A., Dipede, L., Srinivasan, S., & Mital, D. P. (2016). Clinical decision support system for management of root canal treated teeth. International Journal of Medical Engineering and Informatics, 8(3), 225-238.

Vyas, R., Haque, S., Mital, D. P., & Srinivasan, S. (2015). Analysis of incidence of lung cancer in various states of the USA. International Journal of Medical Engineering and Informatics, 7(1), 36-45.

Alqahtani, K. S., Srinivasan, S., Mital, D. P., & Haque, S. (2015). Analysis of risk factors for prostate cancer patients. International Journal of Medical Engineering and Informatics, 7(4), 365-380.

Rifkin, R. M., Abonour, R., Terebelo, H., Shah, J. J., Gasparetto, C., Hardin, J., . . . Durie, B. G. (2015). Connect MM Registry: The Importance of Establishing Baseline Disease Characteristics. Clin Lymphoma Myeloma Leuk, 15(6), 368-376.

Alamoudi, A. O., Haque, S., Srinivasan, S., & Mital, D. P. (2015). Diagnostic efficacy value in terms of sensitivity and specificity of imaging modalities in detecting the abdominal aortic aneurysm: A systematic review. International Journal of Medical Engineering and Informatics, 7(1), 15-35.

Ebomoyi, E. W., & Srinivasan, S. (2014). Human Genome Sequencing Project and the implications for international primary healthcare programme in Sub-Sahara African nations. International Journal of Medical Engineering and Informatics, 6(2), 135-149.

Alamoudi, A. O., Haque, S., Srinivasan, S., & Mital, D. P. (2014). A preliminary comparison of using handheld devices in promoting the healthcare performance within a radiology department in terms of diagnostic accuracy and workflow efficiency. International Journal of Medical Engineering and Informatics, 6(4), 355-364.

Pandya, B. D., Mital, D. P., Srinivasan, S., & Haque, S. (2014). A web-based system for early detection of symptom of depression. International Journal of Medical Engineering and Informatics, 6(1), 65-73.

Vyas, R., Haque, S., Mital, D. P., & Srinivasan, S. (2013). Analysis of the incidence of lung cancer based on anatomical sites of lung using NIS data. International Journal of Medical Engineering and Informatics, 5(3), 209-222.

Zhou, D., Mital, D. P., & Srinivasan, S. (2013). Breast cancer diagnosis: A statistical analysis-based approach. International Journal of Medical Engineering and Informatics, 5(4), 321-333.

Lai, P. A., Geier, S. S., Srinivasan, S., Mital, D. P., & Haque, S. (2013). Evaluation of a computerised clinical documentation system (CCDS) implementation in the transplant laboratory. International Journal of Medical Engineering and Informatics, 5(1), 31-45.

Luo, F., Mital, D. P., Srinivasan, S., & Haque, S. (2012). Breast cancer incidence analysis using inpatient data. International Journal of Medical Engineering and Informatics, 4(2), 196-213.

Srinivasan, S., Mitald, D., Ebomoyi, W., & Haque, S. (2012). A synthetic model for neuromuscular control. International Journal of Medical Engineering and Informatics, 4(3), 253-261.

Ebomoyi, W., & Srinivasan, S. (2011). Genomic technologies and the imminent set-backs in developing nations. International Journal of Medical Engineering and Informatics, 3(4), 369-380.

Zang, Q., Keire, D. A., Buhse, L. F., Wood, R. D., Mital, D. P., Haque, S., . . . Welsh, W. J. (2011). Identification of heparin samples that contain impurities or contaminants by chemometric pattern recognition analysis of proton NMR spectral data. Anal Bioanal Chem, 401(3), 939-955.

Yen, P. F., Mital, D. P., & Srinivasan, S. (2011). Prediction of the serious adverse drug reactions using an artificial neural network model. International Journal of Medical Engineering and Informatics, 3(1), 53-59.

Zhou, D., Mital, D. P., Srinivasan, S., & Haque, S. (2011). Risk factors for open angle glaucoma - Analyses using logistic regression. International Journal of Medical Engineering and Informatics, 3(3), 203-222.

Nagle, K., Tafuto, B., Palladino Kim, L., & Parrott, J. S. (2018). Effect of transplant status in CD19-targeted CAR T-cell therapy: a systematic review and meta-analysis. Med Oncol, 35(11), 144. doi:10.1007/s12032-018-1204-6

Cowen, V. S., & Tafuto, B. (2018). Integration of Massage Therapy in Outpatient Cancer Care. Int J Ther Massage Bodywork, 11(1), 4-10.