Particles in biopharmaceutical formulations remain a hot topic in drug product development.
With new product classes emerging it is crucial to discriminate particulate active …

Highlights•New mL-scale USD tools can predict manufacture at scale of biological
material.•These USD tools give new understanding of the impacts of the process …

Oil agglomeration can be a promising technique to recover fines and ultra-fines coal
particles from the discarded tailing generated from coal preparation plants. In the present …

Based on first-hand data from the forest resources inventory of five representative forest
farms in Beijing, this study quantitatively evaluates forest ecosystem health at sub …

An ultra scale‐down method is described to determine the response of cells to recovery by
dead‐end (batch) centrifugation under commercially defined manufacturing conditions. The …

Improve artificial neural network for medical analysis, diagnosis and prediction Improve
artificial neural network for medical analysis, diagnosis and prediction J Crit Care. 2017 Aug:40:293 …

Background and objectives Kernel deep stacking networks (KDSNs) are a novel method for
supervised learning in biomedical research. Belonging to the class of deep learning …

Background Tissue engineering and regenerative medicine (TERM) aim to repair or replace
damaged or lost tissues or organs due to accidents, diseases, or aging, by applying different …

The sub goals of medicine are diagnosis of a disease, treatment with pharmaceutical
preparations/surgery/intervention and probing into adverse drug effects on treated patients …

Materials and methods The study was conducted in the department of Otolaryngology Head
and Neck surgery, St. John's Medical College Hospital, Bengaluru. The period of data …