A5028140714- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Immunotherapy and Immune Responses
- Cancer Genomics and Diagnostics
- Cancer Immunotherapy and Biomarkers
- Medical Image Segmentation Techniques
- CAR-T cell therapy research
- Prostate Cancer Diagnosis and Treatment
- Immune Cell Function and Interaction
- Prostate Cancer Treatment and Research
- Breast Cancer Treatment Studies
- MRI in cancer diagnosis
- Advanced Breast Cancer Therapies
- Gene expression and cancer classification
- Medical Imaging Techniques and Applications
- Cancer Research and Treatments
- Molecular Biology Techniques and Applications
- Melanoma and MAPK Pathways
- Cancer-related Molecular Pathways
- Cell Image Analysis Techniques
- Estrogen and related hormone effects
- Head and Neck Surgical Oncology
- Lung Cancer Treatments and Mutations
- Angiogenesis and VEGF in Cancer
- BRCA gene mutations in cancer
University of Pennsylvania
2015-2024
Indiana University – Purdue University Indianapolis
2023-2024
Indiana University Indianapolis
2024
University of Pennsylvania Health System
2008-2023
Hospital of the University of Pennsylvania
2012-2021
California University of Pennsylvania
2016-2021
Pancreas Centre (Canada)
2021
University of Zurich
2014-2018
Washington University in St. Louis
2018
James S. McDonnell Foundation
2018
Elucidation of the genetic factors underlying chronic liver disease may reveal new therapeutic targets.
Infiltrating inflammatory cells are highly prevalent within the tumor microenvironment and mediate many processes associated with progression; however, contribution of specific populations remains unclear. For example, nature function tumor-associated neutrophils (TANs) in cancer is largely unknown. The goal this study was to provide a phenotypic functional characterization TANs surgically resected lung patients. We found that constituted 5%-25% isolated from digested human tumors. Compared...
This paper presents a deep learning approach for automatic detection and visual analysis of invasive ductal carcinoma (IDC) tissue regions in whole slide images (WSI) breast cancer (BCa). Deep approaches are learn-from-data methods involving computational modeling the process. is similar to how human brain works using different interpretation levels or layers most representative useful features resulting into hierarchical learned representation. These have been shown outpace traditional...
With the increasing ability to routinely and rapidly digitize whole slide images with scanners, there has been interest in developing computerized image analysis algorithms for automated detection of disease extent from digital pathology images. The manual identification presence breast cancer by a pathologist is critical patient management tumor staging assessing treatment response. However, this process tedious subject inter- intra-reader variability. For methods be useful as decision...
Most prior studies of primary diagnosis in surgical pathology using whole slide imaging (WSI) versus microscopy have focused on specific organ systems or included relatively few cases. The objective this study was to demonstrate that WSI is noninferior for pathology. A blinded randomized noninferiority conducted across the entire range cases (biopsies and resections, including hematoxylin eosin, immunohistochemistry, special stains) from 4 institutions original sign-out (baseline diagnosis)...
Abstract Purpose: The G1–S checkpoint of the cell cycle is frequently dysregulated in breast cancer. Palbociclib (PD0332991) an oral inhibitor CDK4/6. Based upon preclinical/phase I activity, we performed a phase II, single-arm trial palbociclib advanced Experimental Design: Eligible patients had histologically confirmed, metastatic cancer positive for retinoblastoma (Rb) protein and measureable disease. was given at 125 mg orally on days 1 to 21 28-day cycle. Primary objectives were tumor...
Automated detection and segmentation of nuclear glandular structures is critical for classification grading prostate breast cancer histopathology. In this paper, we present a methodology automated interest in digitized histopathology images. The scheme integrates image information from across three different scales: (1) low- level based on pixel values, (2) high-level relationships between pixels object detection, (3) domain-specific histological structures. Low-level utilized by Bayesian...
BackgroundPrevious studies have independently validated the prognostic relevance of residual cancer burden (RCB) after neoadjuvant chemotherapy. We used results from several independent cohorts in a pooled patient-level analysis to evaluate relationship RCB with long-term prognosis across different phenotypic subtypes breast cancer, assess generalisability broad range practice settings.MethodsIn this analysis, 12 institutes and trials Europe USA were identified by personal communications...
Single-agent PD-1 blockade exhibits limited efficacy in epithelial ovarian cancer (EOC). We evaluated ipilimumab plus nivolumab compared with alone women persistent or recurrent EOC.Eligibility criteria included measurable disease, 1-3 prior regimens, and platinum-free interval (PFI) < 12 months. Participants were randomly allocated to intravenous (every 2 weeks) induction for 4 doses 3 weeks), followed by every-2-week maintenance a maximum of 42 doses. The primary null hypothesis was equal...
Digital pathology (DP), referring to the digitization of tissue slides, is beginning change landscape clinical diagnostic workflows and has engendered active research within area computational pathology. One challenges in DP presence artefacts batch effects, unintentionally introduced during both routine slide preparation (eg, staining, folding) blurriness, variations contrast hue). Manual review glass digital slides laborious, qualitative, subject intra- inter-reader variability. Therefore,...
Diagnosis of prostate cancer (CaP) currently involves examining tissue samples for CaP presence and extent via a microscope, time-consuming subjective process. With the advent digital pathology, computer-aided algorithms can now be applied to disease detection on digitized glass slides. The size these histology images (hundreds millions pixels) presents formidable challenge any computerized image analysis program. In this paper, we present boosted Bayesian multiresolution (BBMR) system...
Complete loss of BRCA1 or BRCA2 function is associated with sensitivity to DNA damaging agents. However, not all and germline mutation-associated tumors respond. Herein we report analyses 160 breast ovarian tumors. Retention the normal allele (absence locus-specific heterozygosity (LOH)) observed in 7% ovarian, 16% 10% breast, 46% These have equivalent homologous recombination deficiency scores sporadic tumors, significantly lower than LOH (ovarian, P = 0.0004; < 0.0001, two-tailed Student's...
The integrated stress response (ISR) is a critical mediator of cancer cell survival, and targeting the ISR inhibits tumor progression. Here, we have shown that activating transcription factor 4 (ATF4), master transcriptional effector ISR, protects transformed cells against anoikis - specialized form apoptosis following matrix detachment also contributes to metastatic properties. Upon loss attachment, ATF4 activated coordinated program cytoprotective autophagy antioxidant responses, including...
No predictive biomarkers can robustly identify patients with non-small cell lung cancer (NSCLC) who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a machine learning setting, we compared changes ("delta") the radiomic texture (DelRADx) of CT patterns both within and outside tumor nodules before after two to three cycles ICI therapy. We found that DelRADx could predict response therapy overall survival (OS) for NSCLC. retrospectively analyzed data acquired 139 NSCLC...
A dysbiotic microbiome can potentially contribute to the pathogenesis of many different diseases including cancer. Breast cancer is second leading cause death in women. Thus, we investigated diversity four major types breast cancer: endocrine receptor (ER) positive, triple Her2 positive and negative cancers. Using a whole genome transcriptome amplification pan-pathogen microarray (PathoChip) strategy, detected unique common viral, bacterial, fungal parasitic signatures for each types. These...
Post-acute sequelae of COVID-19 (PASC, "Long COVID") pose a significant global health challenge. The pathophysiology is unknown, and no effective treatments have been found to date. Several hypotheses formulated explain the etiology PASC, including viral persistence, chronic inflammation, hypercoagulability, autonomic dysfunction. Here, we propose mechanism that links all four in single pathway provides actionable insights for therapeutic interventions. We find PASC are associated with...