A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays.

Osteoarthritis (OA) is a musculoskeletal disorder that affects weight-bearing joints like the hip, knee, spine, feet, and fingers. It is a chronic disorder that causes joint stiffness and leads to functional impairment. Knee osteoarthritis (KOA) is a degenerative knee joint disease that is a significant disability for over 60 years old, with the most prevalent symptom of knee pain.

Preparation and Characterization of Essential oil from Lavandula spica Plant and its Antimicrobial Activity against Pseudomonas aeruginosa and Staphylococcus aureus.

The biological properties of herbs and essential oils (EOs), such as their antibacterial, analgesic, anti-inflammatory, antioxidant, and anticancer characteristics, make them widely used in a variety of fields. This research aims to assess the antibacterial efficacy of lavender oil against Staphylococcus aureus (S. aureus) and Pseudomonas aeruginosa (P.

Imaging Insights Suggesting a Sinister Cause of a Breast Mass in Adolescents: A Case of Rhabdomyosarcoma in a Teenager.

Background: Sarcomas of the breast are exceedingly rare, accounting for less than 1% of malignant breast tumors, with primary rhabdomyosarcomas being even rarer. Due to the scarcity of reported cases, the imaging characteristics of breast rhabdomyosarcoma are not well-defined, making diagnosis challenging, especially in adolescents.

Case Description: We present the case of a 17-year-old female diagnosed with embryonal rhabdomyosarcoma following a comprehensive workup for right breast masses.

Integrating HRMAS-NMR Data and Machine Learning-Assisted Profiling of Metabolite Fluxes to Classify Low- and High-Grade Gliomas.

Diagnosing and classifying central nervous system tumors such as gliomas or glioblastomas pose a significant challenge due to their aggressive and infiltrative nature. However, recent advancements in metabolomics and magnetic resonance spectroscopy (MRS) offer promising avenues for differentiating tumor grades both in vivo and ex vivo. This study aimed to explore tissue-based metabolic signatures to classify/distinguish between low- and high-grade gliomas.