Deep learning helped exceed superhuman accuracy in image, voice and video recognition. But biomedical applications are stalling because there are too few professionals with intimate knowledge of and experience working with multi-omics, drug and clinical data and deep networks at the same time.
Since 2014 our team is hard at work to bridge this gap. Through a partnership with Insilico Medicine, one of the leaders in big data aggregation and analysis in cancer and age-related diseases, we are licensing millions of samples of harmonized multi-omics data human data.
We create, train, sell or license deep neural network solutions to the pharmaceutical and biotechnology companies and academic groups worldwide. We also develop our own deep learned biomarkers and drug discovery tools that will soon yield new personalized solutions for cancer and age-related diseases.
multi-disease marker and classifier
Predictor of mechanism of action of multiple drugs based on multi-omics data
Aging clock based on transcriptomic data
Blood biochemistry-based marker of human aging
In partnership with Insilico Medicine we are developing a deep learned system for recognizing various properties of drugs based on transcriptomic signatures.
Our team has extensive experience working with almost every big company and many biotechnology company in many areas of drug discovery. We constantly generate new ideas in deep biomarker development, deep feature extraction systems and deep drug discovery and in silico simulation and validation systems. Our process flow is very simple we:
Generate an idea or discuss a project with one of our customers
Host a meetings with our scientists, high performance computing experts and deep learning experts, external consultants and define the data and computing requirements
Accumulate and prepare the data and work on the deep neural network architecture
Expose the DNN to large data sets and test the performance
Offer the trained DNN to our exclusive partners while keeping the project and the approach confidential
01 Generate an idea or discuss a project with one of our customers
02 Host a meetings with our scientists, high performance computing experts and deep learning experts, external consultants and define the data and computing requirements
03 Accumulate and prepare the data and work on the deep neural network architecture
04 Expose the DNN to large data sets and test the performance
05 Offer the trained DNN to our exclusive partners while keeping the project and the approach confidential
Professionals, who know how to work with deep neural nets, massive biomedical data and practical problems in drug discovery are extremely scarce. We employ and partner with top leaders in their respective fields commonly with academic affiliations and invest heavily in their training. We take pride in keeping their identities away from professional and social networks. Strict NDAs and non-compete agreements are signed by every member of the team in accordance with the international laws. Please take extreme caution when hiring any of the professionals claiming to work for Deep Pharma or Insilico Medicine. If you are one of these rare experts, please submit a link to your profile on Research Gate or Google Scholar here.