AI Search Finds Efficient Prostate Cancer Segmentation Model
A new resource-optimized neural architecture search framework automatically identifies a compact 3D U-Net model for prostate cancer segmentation from diffusion-weighted ...
A new resource-optimized neural architecture search framework automatically identifies a compact 3D U-Net model for prostate cancer segmentation from diffusion-weighted ...
Researchers developed an automated zinc-mediated radiosynthesis of fluorine-18 fluoroflutamide but observed limited androgen receptor engagement and unexpected mass effects in ...
A retrospective clinical study reveals that combining biparametric MRI with transrectal ultrasound strain elastography improves specificity and lesion localization in ...
A prospective study following over one thousand prostate cancer patients revealed that multidimensional fatigue persists up to five years after ...
A descriptive analysis of 154 patients enrolled in the French funded Early Access program confirms the real-world safety and dosing ...
A study of 689 prostate cancer patients found that apparent diffusion coefficient values predict unfavorable disease and recurrence, improving risk ...
A long-term epidemiological analysis reveals that while Albania maintains Europe's lowest estimated prostate cancer rates, demographic aging and surveillance gaps ...
Researchers have discovered that reducing HOXD13 expression in prostate cancer cells hampers apoptosis and stimulates aggressive behavior through the MDM2 ...
A study in Cancer & Metabolism reveals that SENP1 drives de novo cholesterol synthesis in prostate cancer by deSUMOylating SREBP2, ...
A nationwide Dutch registry study shows real-world olaparib therapy achieved a 13.4-month median overall survival in BRCA-mutated prostate cancer, with ...
An observational study of 1,955 patients with urological cancers found that G8 and functional competence had low concordance but were ...
A systematic scoping review finds that current AI evidence does not support omitting extended pelvic lymph-node dissection after a negative ...
The study, published in EJNMMI Radiopharmacy and Chemistry, utilized two distinct radiotracers: In-PSMA-I&T for targeting PSMA-positive lesions and Tc-DPD for ...
A retrospective study in Diagnostic Pathology found that a biopsy-trained AI algorithm achieved 94.3% sensitivity for detecting incidental prostate adenocarcinoma ...
A two-center study developed a biparametric MRI habitat analysis framework that effectively identifies pathologically high-risk prostate cancer, showing superior discrimination ...
Ultrasound-guided nanobubbles co-delivering siFGFR1 and enzalutamide inhibited drug-resistant prostate cancer cells and reduced tumor growth in preclinical models without observed ...
A narrative review in the African Journal of Urology outlines adaptive strategies for managing metastatic prostate cancer in low- and ...
A clinical case report documents an asymptomatic 73-year-old prostate cancer patient whose biochemical recurrence led to the rare detection of ...
A virtual-patient modelling framework identifies a robust 33-to-67-hour imaging window centered at 50 hours that minimizes both population errors and ...
A critical narrative review synthesizes evidence from over eighty studies demonstrating that artificial intelligence applied to multiparametric magnetic resonance imaging ...
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