R. Maciel

A Hybrid Mechanistic–Machine Learning Framework for Patient-Specific Thrombin Generation and Interpretable Prediction of Recurrent Venous Thromboembolism

Predicting recurrence after a first venous thromboembolism episode remains difficult: existing risk scores use few variables and generalize poorly, whereas machine learning often lacks mechanistic interpretability. We developed a hybrid framework combining an artificial neural network with a mechanistic model of the co...

Bioprocess Development for High-Purity Succinic Acid Production from Oil Palm Empty Fruit Bunch

From Waste to Process Enhancer: Pyrolysis-Engineered Biochar as a Booster in Anaerobic Digestion