April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” This review highlights recent advancements in the formulation of herbal hair creams, focusing on the use of natural ingredients like kidney bean extract and aloe vera, eco-friendly extraction methods, and modern pharmaceutical technologies to create effective and safe products for hair care.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” This review discusses the formulation and evaluation of herbal hair creams using ingredients like kidney beans, aloe vera, and vitamin E, highlighting recent advances such as eco-friendly extraction techniques and computer-aided optimization to enhance application ease, shelf life, and effectiveness in maintaining a healthy scalp.
7 citations
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October 2023 in “Journal of Intelligent & Fuzzy Systems” This study proposed and tested an Ensemble Pre-Learned Deep Learning and Optimized Long Short-Term Memory (EPL-OLSTM) model for classifying Alopecia Areata, achieving a 93.1% accuracy in differentiating healthy from varying severity levels of AA scalp hair using specific datasets.
5 citations
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August 2024 in “Drug Discovery Today” This review examines advances in computer-aided drug design for targeting membrane proteins in prostate cancer but reports no new clinical results; it emphasizes the potential of structural insights and compound screening for therapeutic development.
This study introduced Cadd4, a peptide-based degrader developed using computer-aided drug design, which effectively reduced PCSK9 levels and increased LDL receptor expression, resulting in decreased plasma cholesterol and LDL-C levels in hypercholesterolemic mice, without liver toxicity.
