Pharma & Biotech | Molecular Health

Pharma & Biotech

Improve the prediction of drug outcomes and pick the winners

Successful clinical trials occur at a ratio of 1 in 10, costing around $2-3 billion, with drugs taking 10–12 years to be approved. With increasing health issues all over the world and the need for faster and cheaper drug development, it is necessary to start leveraging the vast data ocean of life sciences. Our data analytics and enhanced AI solutions offer new possibilities for pharma and biotechs to increase both their productivity and ROI.

Pharma & Biotech

Improve the prediction of drug outcomes and pick the winners

Successful clinical trials occur at a ratio of 1 in 10, costing around $2-3 billion, with drugs taking 10–12 years to be approved. With increasing health issues all over the world and the need for faster and cheaper drug development, it is necessary to start leveraging the vast data ocean of life sciences. Our data analytics and enhanced AI solutions offer new possibilities for pharma and biotechs to increase both their productivity and ROI.

 

Unlock the power of clinico-molecular data

The pharmaceutical industry is turning to artificial intelligence (AI) techniques such as machine learning and neural networks to extract insights about drugs, diseases and outcomes from clinical and molecular data. However, it is challenging to apply AI reliably and meaningfully to biomedicine because: 

 

  • AI applied to healthcare requires a high-quality and complex integration of different types of data that do not normally appear interlinked in typical sources 
  • AI’s predictive power and capability to produce meaningful insights is well-established with linear, repetitive patterns, while biomedicine data exhibits a different nature with complex and  scattered features 
  • Healthcare records are incomplete and variable, so human intervention by highly specialized medical experts is needed to decide which techniques will yield the most meaningful and accurate interpretations. 

Molecular Health merges clinical, molecular and drug data, and filters it through its highly-specialized data knowledge-base and human domain expertise to choose the right machine learning model that will optimize and ensure the quality and reliability of data insights to increase your success in discovering, developing and commercializing drugs. 

Improve prediction of drug response and resistance

The merging of clinical and molecular data allows you to form a better understanding of how drug candidates will perform in the real world before full real-world evidence emerges and is aggregated.

Design more successful trials 

An improved understanding of the clinical and molecular signals and pathways that explain and predict drug safety and efficacy will enable you to design trials that are more targeted, more precisely stratified, and potentially more likely to succeed. 

Use molecular evidence for market acceptance 

Payers want to know which patients will respond to your drug, and whether the outcome will be better than with other treatments. Through in-silico science delivered by Molecular Health, you can develop a deep understanding of the clinical and molecular mode of action, identify and validate biomarkers to support your therapy’s value, and find treatment combinations that have the potential to improve efficacy and safety as well as identifying repurposing opportunities for existing drugs.

To discover the insight you are seeking, you need data that is comprehensive, clean, curated, structured, integrated and ready for analyzing. Molecular Health’s Dataome technology and expertise provide what you need.




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Clinical trial failure can happen for many reasons. Molecular Health can help you discover which molecules are least likely to experience safety risks or lack of efficacy for specific patient profiles, and improve R&D success through better-informed trial design. 




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Despite regulatory approval, prove value of your drug to patients and payers is paramount. Molecular Health can help identify and validate biomarkers and comparative outcomes by analyzing Real World Data using Dataome.





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Integrating insight has never been easier

Over the last decade, Dataome has grown to become one of the largest globally available resources of clinico-molecular data and knowledge. From millions of patient lives to hundreds of billions of molecular data points, it provides a single-point of access to the worlds biomedical knowledge through our decision support applications.


MH Predict Logo

Molecular Health Predict (MH Predict) is an application to predict clinical trials probabilities of success. It enables the improvement of clinical trial success and reduces clinical trial failure while optimizing resource allocation for the biopharma industry and investors and enhancing the overall efficiency of drug development.

 

Dataome - the world’s medical data, cleaned and curated
At the center of action is insight. At the center of insight is Dataome. Built and constructed over a decade, our Dataome technology enables the quality-controlled capture, integration and analysis of clinical and molecular knowledge for millions of patients globally. By connecting real-world patient outcome data to the real-time state of clinical and molecular knowledge, Dataome provides an unparalleled evidence base upon which decision support solutions for the healthcare industry are built.
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Dataome - the world’s medical data, cleaned and curated
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Let’s talk about how our technology can work for you

To find out more, you can call our customer care team or help desk or send us an e-mail. We would be delighted to provide you with more information or answer your questions.


EU: +49 6221 43851-150
E-Mail: CustomerCareEU@molecularhealth.com