Related references
Note: Only part of the references are listed.Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook
Jorge F. Arinez et al.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2020)
The future of pharmaceutical quality and the path to get there
Lawrence X. Yu et al.
INTERNATIONAL JOURNAL OF PHARMACEUTICS (2017)
Artificial neural network modelling of continuous wet granulation using a twin-screw extruder
Saeed Shirazian et al.
INTERNATIONAL JOURNAL OF PHARMACEUTICS (2017)
An open source pharma roadmap
Manica Balasegaram et al.
PLOS MEDICINE (2017)
Hybrid modeling as a QbD/PAT tool in process development: an industrial E-coli case study
Moritz von Stosch et al.
BIOPROCESS AND BIOSYSTEMS ENGINEERING (2016)
Toward intensifying design of experiments in upstream bioprocess development: An industrial Escherichia coli feasibility study
Moritz von Stosch et al.
BIOTECHNOLOGY PROGRESS (2016)
Implementation of an artificial neural network as a PAT tool for the prediction of temperature distribution within a pharmaceutical fluidized bed granulator
Yasmine Korteby et al.
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES (2016)
The Next Era: Deep Learning in Pharmaceutical Research
Sean Ekins
PHARMACEUTICAL RESEARCH (2016)
Artificial neural network-based pharmacogenomic algorithm for warfarin dose optimization
Addepalli Pavani et al.
PHARMACOGENOMICS (2016)
Advancing Product Quality: a Summary of the Inaugural FDA/PQRI Conference
Lawrence X. Yu et al.
AAPS JOURNAL (2015)
Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes
Maria Beatriz Takahashi et al.
BIOPROCESS AND BIOSYSTEMS ENGINEERING (2015)
Artificial neural network analysis for predicting human percutaneous absorption taking account of vehicle properties
Tomomi Atobe et al.
JOURNAL OF TOXICOLOGICAL SCIENCES (2015)
Modernizing Pharmaceutical Manufacturing: from Batch to Continuous Production
Sau L. Lee et al.
JOURNAL OF PHARMACEUTICAL INNOVATION (2015)
Models for open innovation in the pharmaceutical industry
Alexander Schuhmacher et al.
DRUG DISCOVERY TODAY (2013)
Clinical application of artificial neural network (ANN) modeling to predict pharmacokinetic parameters of severely ill patients
S Yamamura
ADVANCED DRUG DELIVERY REVIEWS (2003)
Share Paper
