Nanoengineered RF-Sputtered MnO Cathode Thin Films for Aqueous Zinc-Ion Batteries: Insights into Diffusion Dynamics and Application Potential.

Manganese oxides are a promising cathode material for aqueous zinc-ion batteries (AZIBs), but thin-film configurations remain underexplored. This study investigates the electrochemical dynamics of 60 nm thin MnO thin films, fabricated via RF magnetron reactive sputtering. It addresses the highest reported capacity (25 mAh/g) in thin film form, stability over 500 cycles, effective performance across varying current rates, surpassing previous studies and challenges such as phase stability, and capacity fading over extended cycling, aiming to enhance uniformity, minimizing diffusion barriers for improved performance.

Artificial Intelligence (AI) and Liquid Biopsy Transforming Early Detection of Liver Metastases in Gastrointestinal Cancers.

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.

Navigating Tumor Microenvironment Barriers with Nanotherapeutic Strategies for Targeting Metastasis.

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).

Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review.

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.

Efficacy and Safety of F-Biotic™ in Combination With Metformin for Type 2 Diabetes Mellitus: Results From a Randomized, Double-Blind Clinical Trial.

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.