Publications by authors named "S M Parvez Al-Usmani"

Liver metastases from Gastrointestinal (GI) cancers present significant challenges in oncology, often signaling poor prognosis. Traditional detection methods like imaging and tissue biopsies have limitations in sensitivity, specificity, and tumor heterogeneity represen-tation. The advent of artificial intelligence (AI) in healthcare, driven by advancements in ma-chine learning, algorithms, and data science, offers a promising frontier for early detection and management of liver metastases.

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Therapeutic strategy for efficiently targeting cancer cells needs an in-depth understanding of the cellular and molecular interplay in the tumor microenvironment (TME). TME comprises heterogeneous cells clustered together to translate tumor initiation, migration, and proliferation. The TME mainly comprises proliferating tumor cells, stromal cells, blood vessels, lymphatic vessels, cancer-associated fibroblasts (CAFs), extracellular matrix (ECM), and cancer stem cells (CSC).

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Introduction: Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging.

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Introduction: This study evaluated the effectiveness, safety, and tolerability of F-Biotic™ (Arishina Life Sciences, Karnataka, IND), a prebiotic containing 60% resistant starch derived from natural sources, in patients with Type 2 diabetes mellitus (T2DM) on stable metformin therapy.

Methods: Seventy participants with T2DM, aged 25-70 years, were randomized into two groups: one receiving F-Biotic™ and the other a placebo, both administered daily for 12 weeks. Key outcomes included fasting blood sugar (FBS), postprandial blood sugar (PPBS), glycated hemoglobin (HbA1c), fasting insulin, insulin resistance (HOMA-IR), GLP-1 levels, lipid profile, and quality of life.

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Lip prints, or cheiloscopy, are unique patterns of grooves and wrinkles, gaining prominence in forensic science as reliable tools for personal identification, akin to fingerprints and DNA profiling. Advances in imaging techniques have enhanced their forensic applicability. This study conducts a bibliometric analysis to explore global research trends, key contributors, and thematic developments in lip print research.

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