January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
July 2026 in “International Journal of Advanced Research in Science Communication and Technology” BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
February 2026 in “Pharmaceuticals” KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
April 2026 in “Scientific Reports” MSF-VMDNet accurately segments skin cancer images better than existing methods.