Evaluation of topical 1% posaconazole therapy in refractory fungal keratitis.

Purpose: The primary objective was to evaluate the clinical response of refractory cases of fungal keratitis to topical 1% posaconazole therapy.

Methods: Prospective longitudinal non-randomized open label dual-cohort study of 70 eyes of refractory fungal keratitis, 35 were recruited as posaconazole treatment (PCZ) group for topical 1% posaconazole therapy and compared to 35 eyes on conventional antifungal therapy. Study parameters included demographic and treatment details, visual acuity, comprehensive slit-lamp biomicroscopy, clinical photography, ASOCT at recruitment and weekly (week 1, 2, 3 and 4 after treatment initiation).

Overzealous over-the-counter cough syrup ingestion leading to serious manifestation in a child - A case report.

Cough is a protective reflex that allows clearance of secretions from upper respiratory tract. It is not a disease by itself but a symptom of underlying disease. In a majority of cases, it is self-limiting and requires only supportive care.

Remodeling of tumour microenvironment: strategies to overcome therapeutic resistance and innovate immunoengineering in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) stands as the most complex and daunting subtype of breast cancer affecting women globally. Regrettably, treatment options for TNBC remain limited due to its clinical complexity. However, immunotherapy has emerged as a promising avenue, showing success in developing effective therapies for advanced cases and improving patient outcomes.

Baicalein and IR780 Coloaded Liposomes for Antifungal and Anticancer Therapy.

Triple-negative breast cancer (TNBC) is known for its aggressive nature, typically presenting as high-grade tumors that grow and spread quickly in all breast cancer types. Several studies have reported a strong correlation between cancer and microbial infections due to a compromised immune system. The most frequent infection associated with surface malignancies, including breast cancer, is Candidiasis, which is majorly caused by .

Hybrid of Deep Feature Extraction and Machine Learning Ensembles for Imbalanced Skin Cancer Datasets.

Skin cancer remains one of the most common and deadly forms of cancer, necessitating accurate and early diagnosis to improve patient outcomes. In order to improve classification performance on unbalanced datasets, this study proposes a distinctive approach for classifying skin cancer that utilises both machine learning (ML) and deep learning (DL) methods. We extract features from three different DL models (DenseNet201, Xception, Mobilenet) and concatenate them to create an extensive feature set.