Combination of state-of-the-art technologies and methodologies

Our methodology is based on the combination of high-level technics to assure accurate therapy proposals. 

Technology

Tools & methods

Quantitative structure-activity relationships /

Artificial Intelligence

 

Quantitative structure-activity relationships (QSAR) is an AI approach that uses knowledge about molecular structure to predict activities and properties of chemical substances. ​

We use QSAR to fill gaps in the available evidence. It allows us to predict metabolic pathways to better assess potential drug-drug interactions, and to predict activities that are not measured (long-term behavior and additional endpoints).

Natural language processing  / Artificial Intelligence
 

Natural language processing (NLP) is an AI approach for extracting knowledge from written sources. The most recent algorithms exceed human accuracies at question answering.

​We use NLP to increase the speed of our work and verify the accuracy of our data.

Complex relational database

 

Relational database store data and the relation that join them. It allows to retrieve data with specific constraints and operate on them so that only the information needed is provided among big amount of data​

We use it to store and retrieve all information about medicinal products such as contraindications, efficacy, safety, pharmacology, posology for specific types of patients.

Statistical inference

 

Statistical inference is a mathematical way to extract knowledge from data using statistical approaches like time series or Bayesian statistics.

We use statistical inference match patient data to existing evidence and adapt the information displayed to each patient.

Scoring algorithms

 

 

 

Scientific and clinical evidence do not have equal reliability. Unreliable sources should have lesser impact than reliable ones when aggregating existing data

We developed a scoring system that helps us to assess whether we can trust the outcomes of a source and whether they can be applied to the population. This scoring system allows us to combine our sources and extract an accurate estimation of clinical outcomes for a drug.

Service design

 

 

 

Service design is an approach to design which consider people, stakeholders, places and processes as integral parts of a solution. The design process based on research, analysis, creativity and testing.

We involve all the healthcare stakeholders in our product  design. We test our solution, conduct interviews, research and  co-create with the different stakeholders to ensure that our solution is addressing  real need. 

RAMPmedical

Henisaja GmbH

 
Kastanienallee 61
10119 Berlin
​info@rampmedical.com
Geschäftsführung: Helene Schönewolf
+49 (0) 30 31 98 08 52
Eingetragen beim Amtsgericht Berlin Charlottenburg HRB 167143 B
USt.-ID: DE299921795

RAMPmedical

Henisaja GmbH

 
Kastanienallee 61
10119 Berlin
​info@rampmedical.com
Geschäftsführung: Helene Schönewolf
+49 (0) 30 31 98 08 52
Eingetragen beim Amtsgericht Berlin Charlottenburg HRB 167143 B
USt.-ID: DE299921795

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