research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features July 2026 in “International Journal of Advanced Research in Science Communication and Technology” BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
research Identification of a link between Wnt/β-catenin signalling and the cell fusion pathway 101 citations , November 2011 in “Nature Communications” Wnt/β-catenin signaling is crucial for cell fusion in placental development.
research Hair cell toxicology: With the help of a little fish 4 citations , December 2022 in “Frontiers in cell and developmental biology” Zebrafish larvae are used to study and find treatments for ear cell damage because they are easier to observe and test than mammals.
research Nitrate‐inducible NIGT1 proteins modulate phosphate uptake and starvation signalling via transcriptional regulation of SPX genes 115 citations , December 2019 in “The Plant Journal” Nitrate helps plants manage phosphate uptake and starvation responses through NIGT1 proteins.