A5071759528- Bladder and Urothelial Cancer Treatments
- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Colorectal Cancer Screening and Detection
- AI in cancer detection
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Urinary Bladder and Prostate Research
- Urinary and Genital Oncology Studies
- Renal cell carcinoma treatment
- Cancer, Hypoxia, and Metabolism
- Molecular Biology Techniques and Applications
- Urinary Tract Infections Management
- MicroRNA in disease regulation
- Statistical Methods in Clinical Trials
- Circular RNAs in diseases
- Medical Imaging and Analysis
- RNA modifications and cancer
- Ferroptosis and cancer prognosis
- Radiopharmaceutical Chemistry and Applications
- Urologic and reproductive health conditions
- Biomedical Text Mining and Ontologies
- Pelvic floor disorders treatments
- Genomics and Rare Diseases
Ningbo University
2024
Jahangirnagar University
2024
Medical University of Vienna
2024
University of Hong Kong
2024
Stanford University
2016-2023
Intel (United States)
2023
Stanford Medicine
2019-2023
Palo Alto University
2023
VA Palo Alto Health Care System
2023
Art Institute of Portland
2023
Purpose The recognition of cystoscopic findings remains challenging for young colleagues and depends on the examiner’s skills. Computer-aided diagnosis tools using feature extraction deep learning show promise as instruments to perform diagnostic classification. Materials Methods Our study considered 479 patient cases that represented 44 urologic findings. Image color was linearly normalized equalized by applying contrast-limited adaptive histogram equalization. Because these can be viewed...
Abstract Prostate cancer pathology plays a crucial role in clinical management but is time-consuming. Artificial intelligence (AI) shows promise detecting prostate and grading patterns. We tested an AI-based digital twin of pathologist, vPatho, on 2603 histological images tissue stained with hematoxylin eosin. analyzed various factors influencing tumor grade discordance between the vPatho system six human pathologists. Our results demonstrated that achieved comparable performance detection...
We developed a prognostic nomogram for patients with high grade urothelial carcinoma of the upper urinary tract after extirpative surgery.Clinical data were available 2,926 diagnosed who underwent surgery. Cox proportional hazard regression models identified independent prognosticators relapse in development cohort (838). A backward step-down selection process was applied to achieve most informative least number variables. The L2-regularized logistic generate novel nomogram. Harrell's...
Benign prostatic hyperplasia (BPH) is the most common cause of lower urinary tract symptoms in men. Current treatments target prostate physiology rather than BPH pathophysiology and are only partially effective. Here, we applied next-generation sequencing to gain new insight into BPH. By RNAseq, uncovered transcriptional heterogeneity among cases, where a 65-gene stromal signature correlated with symptom severity. Stromal signaling molecules BMP5 CXCL13 were enriched while estrogen regulated...
Significant progress in treatment of metastatic castration resistant prostate cancer (mCRPC) has been made. Biomarkers to tailor therapy are scarce. To facilitate decision-making we evaluated dynamic changes alkaline phosphatase (ALP), lactate dehydrogenase (LDH) and specific antigen (PSA) under with Abiraterone. Men bone mCRPC (bmCRPC) on Abiraterone 12/2009-01/2014 were analyzed. Dynamic ALP-, LDH- PSA-changes analyzed as predictors best clinical benefit overall survival (OS)...
Background: Detection of bladder tumors under white light cystoscopy (WLC) is challenging yet impactful on treatment outcomes. Artificial intelligence (AI) holds the potential to improve tumor detection; however, its application in real-time setting remains unexplored. AI has been applied previously recorded images for post hoc analysis. In this study, we evaluate feasibility integration during clinic and transurethral resection (TURBT) live, streaming video. Methods: Patients undergoing...
Abstract Objective. Accurate tumor detection is critical in cystoscopy to improve bladder cancer resection and decrease recurrence. Advanced deep learning algorithms hold the potential performance of standard white-light (WLC) a noninvasive cost-effective fashion. The purpose this work develop cost-effective, transformer-augmented algorithm for accurate tumors WLC assess its on archived patient data. Approach. ‘CystoNet-T’, learning-based detector, was developed with pyramidal CNN...
The uncertainties inherent in clinical measures of prostate cancer (CaP) aggressiveness endorse the investigation clinically validated tissue biomarkers. MUC1 expression has been previously reported to independently predict aggressive localized cancer. We used a large cohort validate whether protein levels measured by immunohistochemistry (IHC) cancer, recurrence and survival outcomes after radical prostatectomy independent pathological parameters.MUC1 IHC was performed on...
Clear cell renal carcinomas (ccRCC) show a broad range of clinical behavior, and prognostic biomarkers are needed to stratify patients for appropriate management. We sought determine whether long intergenic non-coding RNAs (lincRNAs) might predict patient survival. Candidate lincRNAs were identified by mining The Cancer Genome Atlas (TCGA) transcriptome (RNA-seq) data on 466 ccRCC cases (randomized into discovery validation sets) annotated ~21,000 lncRNAs. A previously uncharacterized...
Abstract Malignancy grading of prostate cancer (PCa) is fundamental for risk stratification, patient counseling, and treatment decision-making. Deep learning has shown potential to improve the expert consensus tumor grading, which relies on Gleason score/grade grouping. However, core problem interobserver variability system remains unresolved. We developed a novel PCa utilized artificial intelligence (AI) multi-institutional international datasets from 2647 patients treated with radical...
Aim: This study aimed to identify and analyze the top 100 most cited digital health mobile (m-health) publications. It could aid researchers in identification of promising new research avenues, additionally supporting establishment international scientific collaboration between interdisciplinary groups with demonstrated achievements area interest. Methods: On 30th August, 2023, Web Science Core Collection (WOSCC) electronic database was queried papers a comprehensive search string. From...
The pathology report of radical prostatectomy specimens plays an important role in clinical decisions and the prognostic evaluation Prostate Cancer (PCa). anatomical schema is a helpful tool to document PCa extension for research purposes. To achieve electronic documentation analysis, appropriate model schemas needed. For this purpose we developed cMDX.The architecture cMDX was designed according Open Packaging Conventions by separating whole data into template patient data. Analogue custom...
Aims Long-term urodynamics are required because bladder-emptying disorders often not clearly revealed by conventional urodynamics. Patients with severe clinical overactive bladder symptoms, for instance, show normal results. This may be due to the short evaluation time and psychological factors that complicate study aimed develop an ambulatory three-component urodynamic measurement system is easy operate, registers parameters several days, has no negative impact on patient. Methods We...
This study aims to introduce as proof of concept a combination model for classification prostate cancer using deep learning approaches. We utilized patients with who underwent surgical treatment representing the various conditions disease progression. All possible combinations significant variables from logistic regression and correlation analyses were determined data sets. The possibility was developed predict these that represented clinically meaningful patient’s subgroups. observed...
Abstract PURPOSE High‐grade prostatic intraepithelial neoplasia (HGPIN) is believed to be a precursor of prostate cancer (PCa). This study evaluated whether HGPIN was located close PCa in whole radical prostatectomy specimens (RPSs). MATERIALS AND METHODS We 1,374 from 1999 2010 using cMDX‐based map model the prostate. The distribution 10,439 foci analyzed and visualized on heat map. color gradient reduced six colors representing frequency classification relative an image posterization...
Background: Prognostication is essential to determine the risk profile of patients with urologic cancers. Methods: We utilized SEER national cancer registry database approximately 2 million diagnosed cancers (penile, testicular, prostate, bladder, ureter, and kidney). The cohort was randomly divided into development set (90%) out-held test (10%). Modeling algorithms clinically relevant parameters were for cancer-specific mortality prognosis. model fitness survival estimation assessed using...
Introduction Multidrug-resistant Enterobacteriaceae are among the most urgent global public health threats associated with various life-threatening infections. In absence of a rapid method to identify antimicrobial susceptibility, empirical use broad-spectrum antimicrobials such as carbapenem monotherapy has led spread resistant organisms. Rapid determination resistance is urgently needed overcome this issue. Methods By capturing dynamic single-cell morphological features, including...
Histopathological evaluation of prostatectomy specimens is crucial to decision-making and prediction patient outcomes in prostate cancer (PCa). Topographical information regarding PCa extension positive surgical margins (PSM) essential for clinical routines, quality assessment, research. However, local hospital systems (HIS) often do not support the documentation such information. Therefore, we investigated feasibility integrating a cMDX-based pathology report including topographical into...