Helping solve non-communicable diseases resulting from an unbalanced diet (malnutrition), and shortening up to 60% of the time scope and resources needed for pre-clinical phases of drug development.
KEY MOTIVATORS
The Metabolic Net as a key
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Lengthy and costly
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The metabolic net supports brain activity and body functions, and when it fails to do so, Non-Communicable Diseases appear. According to WHO, NCD's are the leading cause of death, becoming 74% of global deaths.
Metabolic complexities make it hard to identify effective therapeutic targets for these NCD. This results on limited tools for multi-target drugs. |
Traditional drug development takes an average of 12 years, and costs $2 billion with just a 12% success rate in clinical trials.
This contrast between effort and reward is explained by the lack of precise methods to validate the efficacy and safety of bio-actives. At the time being, companies cannot produce efficient screenings of nutraceuticals, which costs a great amount of time and resources. |
Drug Discovery is a lengthy and costly process, unable yet to address the complexity of metabolic dysfunctions in non-communicable diseases, leaving critical gaps in innovation and patient outcomes.
OPPORTUNITY
We believe this is our chance to revolutionize pre-clinical research with AI, to capture high-growing segments:
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Multi-target drugs addressing metabolic dysfunctions are in demand as they represent a shift from symptom-focused treatments to root-cause solutions.
11.5% CAGR |
AI-driven platforms are becoming essential tools for accelerating research and improving success rates.
21.36% CAGR |
Global healthcare spending driven by the increasing prevalence of chronic diseases and Sources : advancements in precision medicine
5.2% CAGR |
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What for?
To address the ineffectiveness of nutraceutical and dietary impact analysis and reduce experimental and clinical trial costs. |
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Cardiac disease
Obesity Diabetes Immunity Post-COVID19 |
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Integrative platform for health professionals and scientits
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PHARMACY / NUTRA-PHARMACY
NUTRITION PRECISION and PREDICTIVE MEDICINE |
Democratising the use of Big Data
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- Saving years in product development
- Guarantees product effectiveness and quality
- Minimal risk of side effects and nutraceutical-drug interactions
- Understanding the medium and long-term impact of diet, supplements and nutraceuticals
- Savings in research costs
- Personalising nutraceuticals and dietary interventions
Universal application of Quantum Computing
- To match up the accuracy and speed in machine learning.
- To help in computational metabolism and successfully map molecules for nutrition and pharmaceutical research.
- To effectively understand diet and nutraceuticals/drugs and their reactions on humans, and enhance their efficiency dramatically.