Computational Lifescience

Data science for a better future – the exploration of complex biological systems

What Computational Life Science brings you

Computational life science is an important factor for all companies in the healthcare sector that want to optimise their research and development and develop innovative solutions. Computational life science can offer significant advantages in the following areas:

Medication development
Personalised medicine
Diagnostics and Prognostics
Biotechnology
Health economics

For What

Computational Life Science is an interdisciplinary field that combines knowledge of computer science, statistics, genetics, medicine, chemistry, agriculture and other related fields. Using data-driven AI approaches, biometric data can be systematically and precisely analyzed and identified.

Through data comparison, damage patterns can be identified at an early stage. More serious consequential damage to the respective biosystem can thus be prevented at an early stage. The Supper & Supper BIO team has extensive professional experience in hospitals and various biological institutions and organizations. We deliver customized AI and Machine Learning solutions.

How

In the analysis of biometrics, we combine classical statistical methods with our innovative machine learning models. Our procedures aim to identify hidden factors that improve the effectiveness of a product or minimize potential risks and dangers. Possible areas of application are:

Early detection of cancer using X-rays
Optimization of the pesticide effect in botan
Trial planning for clinical studies and field trials
Analysis of the interaction between genes and the environment

For whom

Supper & Supper’s BIO Data Science team can provide data-driven AI solutions to companies in virtually all bio-related industries. Our processes, techniques and products offer particularly great potential for:

+ Clinics and hospitals
+ Pharmaceutical industry
+ Plant protection companies
+ Research institute in the biological field
+ Seed companies
+ Companies in the field of medicine and biotechnology

Success Stories

S&S supports us in the preparation, modelling and visualization of complex data in field trial analysis. In doing so, in-depth knowledge in classical biostatistics plays just as an important role as modern machine learning methods, programming environments such as R/Shiny or the handling of Neo4j graph databases. With the help of S&S, holistic analysis tools could be developed and interfaces to users could be created, whereby the time from an idea to the analysis results was significantly reduced.

Dr. Julian Heinrich

„Supper&Supper supports us in improving the decision-making processes of the crop protection pipeline by means of data science. Supper&Supper proposes cutting edge data science methods tailored to our business needs, often exceeding our expectations. Their passion and engagement in the project are outstanding, thus creating an extremely positive collaborative atmosphere.”

Dr. Erica Manesso

Lab head of Biostatistics, Crop Science division, R&D

Biostatistics, machine learning and data science are indispensable for the development of modern, data-based agriculture. In this context, the S&S team supports through competent consulting, implementation of MVPs as well as holistic analyses from data preparation to the extraction of value-adding insights.

Dr. Julian Heinrich

Senior Data Scientist at Bayer Crop Science

The implementation by S&S delivered the full scope of the Minimum Viable Product on time and within budget. This new Syngenta product meets, in the simplest way, complex business requirements for a large number of departments in the Syngenta R & D organization.

Lee Hubbard – PhD, PMP, MSP, RMCP, Syngenta R & D

3PM Expert Systems Excellence | Business Lead for PPM Systems Development for the Portfolio Management Program