Publications by authors named "H Yazbeck"
Purpose: The diagnosis of fungal keratitis using potassium hydroxide (KOH) smears of corneal scrapings enables initiation of the correct antimicrobial therapy at the point-of-care but requires time-consuming manual examination and expertise. This study evaluates the efficacy of a deep learning framework, dual stream multiple instance learning (DSMIL), in automating the analysis of whole slide imaging (WSI) of KOH smears for rapid and accurate detection of fungal infections.
Design: Retrospective observational study.
Article Synopsis
- Antiseizure medications, like valproic acid (VPA), show different results in patients due to genetic factors, though there's limited research specifically on VPA compared to other drugs.
- This study aimed to analyze how genetic variations influence the effectiveness, side effects, and serum levels of VPA in patients with genetic generalized epilepsies (GGE).
- The results revealed that certain genetic variants are linked to treatment failure, increased serum levels, weight gain, and hair loss among GGE patients using VPA, suggesting a need for personalized medication approaches.
Objective: Executive dysfunction is characteristic of behavioral variant frontotemporal dementia (bvFTD) but can be challenging to detect. Dispersion-based intraindividual variability (IIV-d) is hypothesized to reflect a sensitive index of executive dysfunction and has demonstrated relevance to functional decline but has not been evaluated in bvFTD.
Method: We report on 477 demographically matched participants (159 cognitively healthy [CH], 159 clinical Alzheimer's disease [AD], 159 clinical bvFTD/prodromal bvFTD) who completed the Uniform Data Set 3.
Article Synopsis
- Pharmacogenomics (PGx) research in Lebanon is crucial due to the country's genetic diversity and potential for leadership in medicine and education.
- The manuscript reviews current PGx research in Lebanon, discusses the practice and challenges faced, and identifies opportunities for growth and improvement.
- A case study from the American University of Beirut highlights the development of PGx programs, while also addressing the need for increased education and training, including online courses and certifications.
Purpose: To investigate the efficacy of incorporating Generative Adversarial Network (GAN) and synthetic images in enhancing the performance of a convolutional neural network (CNN) for automated estimation of Implantable Collamer Lens (ICL) vault using anterior segment optical coherence tomography (AS-OCT).
Methods: This study was a retrospective evaluation using synthetic data and real patient images in a deep learning framework. Synthetic ICL AS-OCT scans were generated using GANs and a secondary image editing algorithm, creating approximately 100,000 synthetic images.