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Reconstruction of Chemical Structures from Hashed Fingerprints
Short and long-term forecasting of patient behavior using Naive Bayes, Random Forest, and Gradient Boosted Tree algorithms. We were able to show hidden correlations and predict future outcomes.
predict a patient's status
We want to deliver an app that will help managers in supply management in pharmaceutical factories and related logistic management.
Estimate the probability of success of your drug by comparing similar drugs
Leveraging order data to suggest optimal purchase patterns, to predict the orders a wholesaler will make in the next month, and to predict margin of time before expiry on orders
A smart way to label and analyse clinical trials data
Using machine learning algorithms we tried to develop an analysis method for pattern recognition in large patient related datasets
Patient forecast
From the given data, to predict the optimal purchase time and types.
Identifying the least amount of Mordred descriptors required to reverse engineer chemical structures
Predicting patient's use of free drug
Reverse engineering a chemical structure with very limited information
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