Area of research
Pulmonary and Respiratory Medicine · Atomic and Molecular Physics, and Optics
Research interest
Research focused on Prostate cancer and Prostate, with related work in Artificial intelligence, AMPK, In vivo. Notable publications include 'MnSOD upregulation sustains the Warburg effect via mitochondrial ROS and AMPK-dependent signalling in cancer', 'Bisphenol A Promotes Human Prostate Stem-Progenitor Cell Self-Renewal and Increases In Vivo Carcinogenesis in Human Prostate Epithelium', and 'A Novel l -Asparaginase with low l -Glutaminase Coactivity Is Highly Efficacious against Both T- and B-cell Acute Lymphoblastic Leukemias In Vivo'.
The dynamic face of cadmium-induced Carcinogenesis: Mechanisms, emerging trends, and future directions
Fusion‐driven cutaneous and superficial mesenchymal and adnexal tumors—A clinicopathologic and molecular study of 15 cases, including a novel case of <i>ACTB::ZMIZ2</i>‐rearranged adnexal carcinoma
Optical Spectroscopic Detection and Typing of Cardiac Amyloidosis
Appearance of tuft cells during prostate cancer progression
Impact of genomic testing on urologists' treatment preference in favorable risk prostate cancer: A randomized trial
DNA Damage-Induced, S-Phase Specific Phosphorylation of Orc6 is Critical for the Maintenance of Genome Stability
Regulation of SELENOF translation by eIF4a3: Possible role in prostate cancer progression
Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction
Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens
Impact of a Genomic Test on Treatment Decision in a Predominantly African American Population With Favorable-Risk Prostate Cancer: A Randomized Trial
INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival
Observational Study of the Association between Air Cadmium Exposure and Prostate Cancer Aggressiveness at Diagnosis among a Nationwide Retrospective Cohort of 230,540 Patients in the United States
Quantitative phase imaging of stromal prognostic markers in pancreatic ductal adenocarcinoma
A 17-Gene Panel Genomic Prostate Score Has Similar Predictive Accuracy for Adverse Pathology at Radical Prostatectomy in African American and European American Men
Quantitative imaging of the receptor for advanced glycation end-products in prostate cancer
Prostate Stroma Increases the Viability and Maintains the Branching Phenotype of Human Prostate Organoids
Digital Assessment of Stained Breast Tissue Images for Comprehensive Tumor and Microenvironment Analysis
CD44 Regulates Formation of Spheroids and Controls Organ-Specific Metastatic Colonization in Epithelial Ovarian Carcinoma
Tissue spatial correlation as cancer marker
Imaging Collagen Properties in the Uterosacral Ligaments of Women With Pelvic Organ Prolapse Using Spatial Light Interference Microscopy (SLIM)
Association of High miR-182 Levels with Low-Risk Prostate Cancer
Prostate cancer assessment using MR elastography of fresh prostatectomy specimens at 9.4 T
Physiologic serum 1,25 dihydroxyvitamin D is inversely associated with prostatic Ki67 staining in a diverse sample of radical prostatectomy patients
A Novel <scp>l</scp> -Asparaginase with low <scp>l</scp> -Glutaminase Coactivity Is Highly Efficacious against Both T- and B-cell Acute Lymphoblastic Leukemias <i>In Vivo</i>
Disorder strength measured by quantitative phase imaging as intrinsic cancer marker in fixed tissue biopsies
Label-free quantitative evaluation of breast tissue using Spatial Light Interference Microscopy (SLIM)
Vitamin K2, a menaquinone present in dairy products targets castration-resistant prostate cancer cell-line by activating apoptosis signaling
Self-reported Black race predicts significant prostate cancer independent of clinical setting and clinical and socioeconomic risk factors
Correlations of SELENOF and SELENOP genotypes with serum selenium levels and prostate cancer
Automatic Gleason grading of prostate cancer using quantitative phase imaging and machine learning