Antibody-Drug Conjugates in the Treatment of Esophageal Cancer.
Esophageal cancer remains one of the most lethal malignancies worldwide, with particularly poor outcomes following disease progression after first-line chemoimmunotherapy. Antibody-drug conjugates (ADCs) have emerged as a transformative therapeutic class that combines the targeting precision of monoclonal antibodies with potent cytotoxic payloads, en.
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Automated detection of active and structural MRI lesions in the…
OBJECTIVES: This study aims to assess the performance of a fully automated deep learning (DL) system for detecting active and structural magnetic resonance imaging (MRI) lesions of. METHODS: A 2-stage automated pipeline was developed to delineate left and right SIJs and detect 5 MRI-defined lesion types: 1 active lesion: bone marrow oedema (BMO), 4 structural .
Promising but preliminaryComparative Effectiveness of Iron Supplementation in Indian Pregnant Women
Anemia prevalence in Indian pregnant women remains at 52. 2% (The National Family Health Survey-5), necessitating rigorous comparison of standard versus newer iron formulations to optimize treatment in India.
Promising but preliminaryHemorrhoids and Rectal Cancer
Hemorrhoidal disease (HD) and rectal cancer (RC) are common anorectal disorders with overlapping clinical symptoms, including rectal bleeding, altered bowel habits, and anorectal d. This similarity leads to frequent misdiagnosis of RC as HD, and early diagnosis is essential for improving survival and quality of life in patients with RC.
Promising but preliminaryPerformance of MRI-based deep learning models in differentiation of…
BACKGROUND AND AIM: Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited targeted therapies. Deep learning (DL) applied to magnetic resonance imaging (MRI) offers a promising noninvasive alternative to biopsy.