Volume 15
Operationalizing the Neuro-Immune Axis: A Clinical Protocol for Geriatric Antidepressant Optimization
1. Abstract The heterogeneous nature of late-life depression (LLD) necessitates a departure from the traditional “trial-and-error” prescribing model toward a precision-based framework.
Randomized Placebo-Controlled Trial of Dexamethasone During Induction of Anesthesia in Lung Cancer Thoracoscopic Resection
1. Abstract 1.1. Objective: Systemic corticosteroids administered during induction of anesthesia are an effective adjunct to control postoperative pain and opioid consumption after several types of surgery. The role of corticosteroids in pain control after thoracic.
PhasixTM non-ST Mesh for Giant Paraoesophageal Hernias – The Way of the Future?
1.1 Background Mesh reinforcement can be used as an adjunct in giant paraoesophagal hernias repairs. The use of synthetic mesh is associated with significant morbidity whereas biologic mesh is associated with higher rates of recurrence. We aim to assess the safety and effectiveness of biosynthetic absorbable PhasixTM non-ST mesh in the repair of giant paraoesophageal hernias.
PhasixTM non-ST Mesh for Giant Paraoesophageal Hernias – The Way of the Future? Read More »
Late-onset Cerebrotendinous Xanthomatosis with Mild Symptoms: A Case Report
1. Abstract Cerebrotendinous xanthomatosis (CTX) typically presents with infantile diarrhea, juvenile cataracts, and tendon xanthomas. We report a diagnostically challenging case of late-onset CTX in a 48-year-old male presenting with isolated progressive
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At-Home, Patient-Applied Collagen–Manuka Honey–Hydroxyapatite Dressing for Post- Mohs Surgical Sites: An Eight-Patient Case Series
1. Abstract Non-melanoma skin cancers commonly affect the lower extremities and scalp, where Mohs micrographic surgery (MMS) often leaves wounds with complex healing challenges due to limited vascularity, thin skin, and patient comorbidities.
Integration of AI-Driven ǪSAR Modelling and Organ-on-Chip Technology in Ophthalmic Medicine
1. Abstract AI-driven pharmacology in ophthalmology addresses critical challenges in drug discovery for ocular diseases like age-related macular degeneration (AMD) and diabetic retinopathy, where physiological barriers and complex biomarkers hinder tradition- al methods. This review outlines AI’s role in accelerating tar- get identification, lead optimization, and clinical translation to enhance precision medicine and reduce development timelines.