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pharmaceutical manufacturing
pharmaceutical manufacturing
News
New AI Framework to Identify New Indications for Existing Drugs
by
Klick Applied Sciences
New way to make drug repurposing more efficient presented at leading AI conference
| 2 min read
News
Study Award for a New Building Block in the Drug Toolbox
by
Ruhr-University Bochum
Researcher has worked out how enzymes can be used to more easily form the desired bond between two nitrogen atoms
| 2 min read
News
Scientists Harness Flower ‘Super Power’ to Pave the Way for New Drug Treatments
by
University of Bath
Researchers have developed a way of joining up the head and tail of a protein, making it easier to get into cells
| 2 min read
News
Artificial Intelligence Finds Ways to Develop New Drugs
by
ETH Zurich
A new AI model can predict where a pharmaceutically active molecule can be chemically modified and how best to do it
| 4 min read
News
Drug Manufacturers Use FDA, Patent Strategies to Keep Insulin Prices High
by
PLOS
An analysis of FDA and patent records revealed how manufacturers have extended periods of market exclusivity
| 2 min read
Labs Less Ordinary
A New Lab Is Helping the Pharmaceutical Industry Safely Adopt New Workflows
by
Ian Black, MSComm, MSc
The USP's Advanced Manufacturing Technology lab can help you safely move to a methodology that better fits your lab
| 5 min read
News
Chemists Make Breakthrough in Drug Discovery Chemistry
by
University of Chicago
Method to replace carbon with nitrogen atom has been "top of wish list"
| 3 min read
News
Human Disease Simulator Lets Scientists Choose Their Own Adventure
by
Northwestern University
Can test drugs on ‘humans’ without risk, and study what drives diseases
| 3 min read
News
Drug Discovery on an Unprecedented Scale
by
University of Eastern Finland
Researchers improve the processing of drug-like molecules with the aid of machine learning
| 3 min read
Product News
Powerful Metabolism Prediction Capability in Next Generation StarDrop Software
by
Optibrium
The new module combines quantum mechanics and machine learning to better predict the metabolic fate of drug candidates
| 2 min read
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