A5067681918- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Colorectal Cancer Screening and Detection
- Heart Rate Variability and Autonomic Control
- Hemodynamic Monitoring and Therapy
- Non-Invasive Vital Sign Monitoring
- Treatment of Major Depression
- Botulinum Toxin and Related Neurological Disorders
- Nerve injury and regeneration
- Medical Case Reports and Studies
- Digital Imaging in Medicine
- Psychedelics and Drug Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Colorectal Cancer Surgical Treatments
- Pain Mechanisms and Treatments
- Ureteral procedures and complications
- Global Cancer Incidence and Screening
- Digital Radiography and Breast Imaging
- Mental Health Research Topics
- Migration, Health and Trauma
- Bladder and Urothelial Cancer Treatments
- Religion, Spirituality, and Psychology
- Prostate Cancer Diagnosis and Treatment
- Renal and Vascular Pathologies
- Monoclonal and Polyclonal Antibodies Research
Johnson University
2024
Rutgers, The State University of New Jersey
2024
AbbVie (United States)
2023
Google (United States)
2019-2022
Moog (United States)
2020
Medical Research Network
2020
Richmond Hospital
1994
Botsford Hospital
1994
Beaumont Hospital, Dearborn
1994
University College Cork
1984-1990
Deriving interpretable prognostic features from deep-learning-based histopathology models remains a challenge. In this study, we developed deep learning system (DLS) for predicting disease specific survival stage II and III colorectal cancer using 3,652 cases (27,300 slides). When evaluated on two validation datasets containing 1,239 (9,340 slides) 738 (7,140 respectively, the DLS achieved 5-year disease-specific AUC of 0.70 (95%CI 0.66-0.73) 0.69 0.64-0.72), added significant predictive...
Breast cancer management depends on biomarkers including estrogen receptor, progesterone and human epidermal growth factor receptor 2 (ER/PR/HER2). Though existing scoring systems are widely used well-validated, they can involve costly preparation variable interpretation. Additionally, discordances between histology expected biomarker findings prompt repeat testing to address biological, interpretative, or technical reasons for unexpected results.We developed three independent deep learning...
Digital pathology enables remote access or consults and powerful image analysis algorithms. However, the slide digitization process can create artifacts such as out-of-focus (OOF). OOF is often only detected on careful review, potentially causing rescanning, workflow delays. Although scan time operator screening for whole-slide feasible, manual affecting parts of a impractical.We developed convolutional neural network (ConvFocus) to exhaustively localize quantify severity regions digitized...
Gleason grading of prostate cancer is an important prognostic factor, but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated on-par with expert pathologists, it remains open question whether and to what extent A.I. translates better prognostication.In this study, we developed a system predict cancer-specific mortality via A.I.-based subsequently evaluated its ability risk-stratify patients on...
Abstract Background Measuring vital signs plays a key role in both patient care and wellness, but can be challenging outside of medical settings due to the lack specialized equipment. Methods In this study, we prospectively evaluated smartphone camera-based techniques for measuring heart rate (HR) respiratory (RR) consumer wellness use. HR was measured by placing finger over rear-facing camera, while RR via video participants sitting still front front-facing camera. Results study 95 (with...
Major Depressive Disorder (MDD) and Social Anxiety (SAD) are highly comorbid, yet the combined condition has not been subject to any placebo-controlled treatment trials. This study reports a trial of vortioxetine, an antidepressant that also shown benefit in Generalized (GAD), patients meeting DSM-5 criteria for both MDD SAD.The was 12-week double-blind, comparison vortioxetine 10-20 mg/day or placebo administered on 1:1 ratio. The designed include 40 male female outpatients aged 18-70...
Patients with treatment-resistant depression (TRD) treated esketamine nasal spray commonly experience transient symptoms of dissociation. Manifestations dissociation, such as feelings detachment from the environment, can cause considerable anxiety for patients. Nonpharmacologic interventions may help clinicians to manage associated and confusion due dissociation following administration spray. We present case a 64-year-old woman major depressive disorder who participated in clinical trial...
A 59-year-old female with a 30 pack-year smoking history presented to the emergency department hematuria. Cystoscopy and transurethral resection of bladder tumor were performed. Pathology demonstrated high-grade muscle-invasive urothelial carcinoma. Metastatic workup was negative. The patient underwent neoadjuvant cisplatin-based chemotherapy. Radical cystectomy, anterior pelvic exenteration, extended lymph node dissection, orthotopic modified Studer ileal neobladder reconstruction She...
Introduction: Epcoritamab, an off-the-shelf, subcutaneous CD3xCD20 T-cell–engaging bispecific antibody that redirects T cells to eliminate malignant CD20+ B cells, showed single-agent efficacy in patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) a manageable safety profile. The phase 1/2 EPCORE NHL-1 trial (NCT03625037) of epcoritamab R/R DLBCL who received ≥2 prior lines systemic therapy high complete response (CR) and minimal residual disease rates. Methods:...
Abstract Accurate prognosis in colorectal cancer can have important implications for clinical management. Here, we develop a deep learning system (DLS) to first identify invasive and then directly predict disease specific survival (DSS) stage II III using only digitized histopathology whole-slide images. The DLS was trained slides from 1173 1266 cases (18,304 total slides) evaluated on held-out test set of 601 638 (9,340 slides). area under the receiver operating characteristic curve (AUC)...
You have accessJournal of UrologyCME1 Apr 2023V01-04 SINGLE-PORT ROBOTIC EXTRAPERITONEAL RIGHT URETERAL REIMPLANTATION WITH BOARI FLAP Melissa Moran, Alain Kaldany, Krishna Doppalapudi, Arnav Srivastava, and Sammy Elsamra MoranMelissa Moran More articles by this author , KaldanyAlain Kaldany DoppalapudiKrishna Doppalapudi SrivastavaArnav Srivastava ElsamraSammy View All Author Informationhttps://doi.org/10.1097/JU.0000000000003221.04AboutPDF ToolsAdd to favoritesDownload CitationsTrack...
Abstract Measuring vital signs plays a key role in both patient care and wellness, but can be challenging outside of medical settings due to the lack specialized equipment. In this study, we prospectively evaluated smartphone camera-based techniques for measuring heart rate (HR) respiratory (RR) consumer wellness use. HR was measured by placing finger over rear-facing camera, while RR via video participants sitting still front front-facing camera. study 95 (with protocol that included...
Abstract Measuring vital signs plays a key role in both patient care and wellness, but can be challenging outside of medical settings due to the lack specialized equipment. In this study, we prospectively evaluated smartphone camera-based techniques for measuring heart rate (HR) respiratory (RR) consumer wellness use. HR was measured by placing finger over rear-facing camera, while RR via video participants sitting still front front-facing camera. study 95 (with protocol that included...