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- Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
- Binding of Steroid Hormones by the 105,000 x g Supernatant Fraction from Homogenates of Rat Skin and Variations during the Hair Cycle
- Skin permeation of curcumin nanocrystals: Effect of particle size, delivery vehicles, and permeation enhancer
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- Rare Case of Alopecia: Alopecia Neoplastica
- Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Damage of hair follicle stem cells and alteration of keratin expression in external radiation-induced acute alopecia
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