Publications by authors named "A R Sabri"
Article Synopsis
- The emergence of Next Generation Sequencing (NGS) technology has transformed clinical diagnostics, providing extensive microbiome data for personalized medicine.
- Despite its potential, microbiome data's complexity and variability pose challenges for traditional statistical and machine learning approaches, including deep learning.
- The paper presents a novel feature engineering technique that combines two data feature sets, significantly improving the Deep Neural Network's performance in colorectal cancer detection, raising the Area Under the Curve (AUC) from 0.800 to 0.923, thus enhancing microbiome data analysis and disease detection capabilities.
Session-based recommendation systems (SBRS) are essential for enhancing the customer experience, improving sales and loyalty, and providing the possibility to discover products in dynamic and real-world scenarios without needing user history. Despite their importance, traditional or even current SBRS algorithms face limitations, notably the inability to capture complex item transitions within each session and the disregard for general patterns that can be derived from multiple sessions. This paper proposes a novel SBRS model, called Capsule GraphSAGE for Session-Based Recommendation (CapsGSR), that marries GraphSAGE's scalability and inductive learning capabilities with the Capsules network's abstraction levels by generating multiple integrations for each node from different perspectives.
View Article and Find Full Text PDFThis research focuses on developing and characterizing islatravir-loaded dissolving microarray patches (MAPs) to provide an effective, minimally invasive treatment option for human immunodeficiency virus (HIV-1) prevention and treatment. The research involves manufacturing these MAPs using a double-casting approach, and conducting in vitro and in vivo evaluations. Results show that the MAPs have excellent needle fidelity, structural integrity, and mechanical strength.
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- New multipurpose prevention technologies for women prioritize reducing HIV risks and preventing unwanted pregnancies, promoting greater sexual health choices.
- A novel long-acting injectable platform combines the HIV drug MIV-150 and the contraceptive etonogestrel using a specially designed D-peptide that forms a drug-releasing hydrogel after injection.
- The technology shows promising biostability, low toxicity, and sustained delivery of both drugs in animal models for nearly 50 days, indicating its potential for effective long-term use.
Background: Skin and soft tissue infections (SSTIs) present significant treatment challenges. These infections often require systemic antibiotics such as vancomycin, which poses a risk for increased bacterial resistance. Topical treatments are hindered by the barrier function of the skin, and microneedles (MNs) offer a promising solution, increasing patient compliance and negating the need for traditional needles.
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