Rutgers School of Health Professions - Faculty Publications Since 2010

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).

Panja, S., Rahem, S., Chu, C. J., & Mitrofanova, A. (2021). Big Data to Knowledge: Application of Machine Learning to Predictive Modeling of Therapeutic Response in Cancer. Curr Genomics, 22(4), 244-266.

Lim, S. B., Lee, N., Zakeri, K., Greer, P., Fuangrod, T., Coffman, F., Cerviño, L., & Lovelock, D. M. (2021). Can the Risk of Dysphagia in Head and Neck Radiation Therapy Be Predicted by an Automated Transit Fluence Monitoring Process During Treatment? A First Comparative Study of Patient Reported Quality of Life and the Fluence-Based Decision Support Metric. Technol Cancer Res Treat, 20,

Trinh, P., Tafuto, B., Ebanks, Y., Zunaed, Z., & Lechner, D. W. (2021). Competency-Based Self-Assessment Tools: A Mixed-Methods Retrospective Analysis of Need. Princ Pract Clin Res, 7(4), 23-26.

Sangoi, A., Scheiman, M., Yaramothu, C., Santos, E. M., Gohel, S., & Alvarez, T. L. (2021). Convergence Insufficiency Neuro-Mechanism Adult Population Study: Phoria Adaptation Results. Invest Ophthalmol Vis Sci, 62(10), 19.

Oubre, B., Daneault, J. F., Whritenour, K., Khan, N. C., Stephen, C. D., Schmahmann, J. D., Lee, S. I., & Gupta, A. S. (2021). Decomposition of Reaching Movements Enables Detection and Measurement of Ataxia. Cerebellum.

Lage-Vickers, S., Bizzotto, J., Valacco, M. P., Sanchis, P., Nemirovsky, S., Labanca, E., Scorticati, C., Mazza, O., Mitrofanova, A., Navone, N., Vazquez, E., Cotignola, J., & Gueron, G. (2021). The expression of YWHAZ and NDRG1 predicts aggressive outcome in human prostate cancer. Commun Biol, 4(1), 103.

Morel, K. L., Sheahan, A. V., Burkhart, D. L., Baca, S. C., Boufaied, N., Liu, Y., Qiu, X., Cañadas, I., Roehle, K., Heckler, M., Calagua, C., Ye, H., Pantelidou, C., Galbo, P., Panja, S., Mitrofanova, A., Wilkinson, S., Whitlock, N. C., Trostel, S. Y., Hamid, A. A., Kibel, A. S., Barbie, D. A., Choudhury, A. D., Pomerantz, M. M., Sweeney, C. J., Long, H. W., Einstein, D. J., Shapiro, G. I., Dougan, S. K., Sowalsky, A. G., He, H. H., Freedman, M. L., Balk, S. P., Loda, M., Labbé, D. P., Olson, B. M., & Ellis, L. (2021). EZH2 inhibition activates a dsRNA-STING-interferon stress axis that potentiates response to PD-1 checkpoint blockade in prostate cancer. Nat Cancer, 2(4), 444-456.

Patel, N., Vyas, R., Srinivasan, S., & Mital, D. (2021). Hospitalisation characteristics of metabolic syndrome patients. International Journal of Medical Engineering and Informatics, 13(6), 449-460.

Habehh, H., & Gohel, S. (2021). Machine Learning in Healthcare. Curr Genomics, 22(4), 291-300.

Yu, C. Y., & Mitrofanova, A. (2021). Mechanism-Centric Approaches for Biomarker Detection and Precision Therapeutics in Cancer. Front Genet, 12, 687813.

Bhanji, J. P., Delgado, M. R., & Ray, S. (2021). Neural responses to negative events and subsequent persistence behavior differ in individuals recovering from opioid use disorder compared to controls. Am J Drug Alcohol Abuse, 47(3), 319-329.

Papachristodoulou, A., Rodriguez-Calero, A., Panja, S., Margolskee, E., Virk, R. K., Milner, T. A., Martina, L. P., Kim, J. Y., Di Bernardo, M., Williams, A. B., Maliza, E. A., Caputo, J. M., Haas, C., Wang, V., De Castro, G. J., Wenske, S., Hibshoosh, H., McKiernan, J. M., Shen, M. M., Rubin, M. A., Mitrofanova, A., Dutta, A., & Abate-Shen, C. (2021). NKX3.1 Localization to Mitochondria Suppresses Prostate Cancer Initiation. Cancer Discov, 11(9), 2316-2333.

Houser, S. H., Flite, C. A., Foster, S. L., Hunt, T. J., Kinnerson, L., Palmer, M. N., Peterson, J., Pope, R. D., & Sorensen, L. (2021). Population Health: Identifying Skill Sets and Education Alignment for HIM Professionals. Perspect Health Inf Manag, 18(Winter), 1m.

Naidoo, P., Bouharati, C., Rambiritch, V., Jose, N., Karamchand, S., Chilton, R., & Leisegang, R. (2021). Real-world evidence and product development: Opportunities, challenges and risk mitigation. Wien Klin Wochenschr, 133(15-16), 840-846.

Mill, R. D., Winfield, E. C., Cole, M. W., & Ray, S. (2021). Structural MRI and functional connectivity features predict current clinical status and persistence behavior in prescription opioid users. Neuroimage Clin, 30, 102663.

Sheth, D., Vyas, R., & Srinivasan, S. (2021). Study of demographic and risk factors associated with liver diseases. International Journal of Medical Engineering and Informatics, 13(6), 511-522.

Sherifi, D., Ndanga, M., Hunt, T. T., & Srinivasan, S. (2021). The Symbolic Relationship Between Health Information Management And Health Informatics: Opportunities For Growth And Collaboration. Perspectives in health information management, 18(4), 1c.

Alvarez, T. L., Scheiman, M., Morales, C., Gohel, S., Sangoi, A., Santos, E. M., Yaramothu, C., d'Antonio-Bertagnolli, J. V., Li, X., & Biswal, B. B. (2021). Underlying neurological mechanisms associated with symptomatic convergence insufficiency. Sci Rep, 11(1), 6545.

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.

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.

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.

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.

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.

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.

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.

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.

Hunt, T. T. J. (2021). Professional Networking for Health Information Management/Technology Students and New Graduates: A Survey of HIM Professionals in Michigan. Perspect Health Inf Manag, 18(Winter), 1d.

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.

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.

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.

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

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).

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.

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.

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.

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.

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.

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).

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.

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.

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

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.

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.

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

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.

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).

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.

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.

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.

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.

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.

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

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.

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).

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.

Dubcenco, E., Beers-Block, P. M., Kim, L. P., Schotland, P., Levine, J. G., McCloskey, C. A., & Bashaw, E. D. (2017). A Proton Pump Inhibitor in the Reformulation Setting: Bioequivalence and Potential Implications for Long-Term Safety. Clin Transl Sci, 10(5), 387-394.

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.

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 receptor activation. Sci Signal, 10(471).

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.

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.

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.

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.

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.

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.

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.

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

Ramamurthy, B., Coffman, F. D., & Cohen, S. (2015). A perspective on digital and computational pathology. J Pathol Inform, 6, 29. doi:10.4103/2153-3539.158059

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.

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.

BeersBlock, P. (Nov 2014). Electronic data capture in clinical trials: a vendor view of the risks, challenges, and benefits. SOCRA Source, Issue 82.

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.

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.

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.

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.

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.

BeersBlock, P. (May 2014). Risk Management Principles and Strategies When Using Computerized Systems for Clinical Research. SOCRA Source, Issue 80.

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

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.

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

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.

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.

Majagah, K., & Haque, S. (2013). An integrated disaster response information surveillance system. International Journal of Medical Engineering and Informatics, 5(4), 299-310.

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.

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.

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.

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.

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

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.

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

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.

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).

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.

Rana, A. M., Haque, S. S., & Ahamed, S. V. (2011) Biomedical informatics data modeling of the 911 Call Center at Newark, New Jersey, USA. Vol. 203 CCIS. Communications in Computer and Information Science (pp. 682-691).

DIA (2011). Computerized Systems in Clinical Research Current Data Quality and Data Integrity Concepts (Peach Book). (Authors and Editors: E. Hulihan, P. Beers Block, J. Malia, R. Chamberlain). Horsham, PA: DIA

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.

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