Traditional “one-size-fits-all” treatment protocols are often ineffective, leading to adverse side effects and significant waste due to their lack of individualisation. With cutting-edge AI technology in precision medicine, we offer a solution that personalises therapy based on genetic data — maximising treatment efficacy while minimising risks, aligning with the future of healthcare.
The Challenge: One-Size-Fits-All Treatments Fall Short
For decades, medicine has relied on generalised treatment protocols that overlook individual biological diversity. This approach presents several major challenges:
Suboptimal treatment outcomes: The same drug or treatment may be effective for one patient but ineffective or even harmful for another, due to differences in genetics, physiology, and drug metabolism. This can prolong treatment and increase costs.
Serious side effects and heightened risks: Certain medications may trigger adverse reactions in specific genetic subgroups, threatening patient safety and leading to medical complications.
Waste of healthcare resources: Ineffective treatments force patients to try multiple drugs or approaches, resulting in wasted medications, repeated diagnostics, extended treatment times, and increased financial burden on both patients and healthcare systems.
Complexity of genetic data analysis: Genetic data is vast and complex. Manual or conventional analysis methods cannot efficiently uncover the intricate relationships between genes and drug responses.
Lack of tools to support precision medicine: Clinicians need advanced tools to integrate and interpret genetic and clinical data effectively, enabling informed and personalised treatment decisions.
Real-world example: A cancer patient receives standard chemotherapy, but due to a specific genetic mutation, the treatment proves not only ineffective but also causes severe side effects. Treatment must be halted, resulting in prolonged suffering and increased costs.
Breakthrough AI Solution: Genetic “Blueprints” for Personalised Therapies
Our AI-powered solution for personalised treatment based on genetic data represents a pioneering step in precision medicine. By analysing both genetic and clinical data, AI builds a unique patient profile and recommends the most effective treatment protocol, medication, and dosage tailored to the individual.
How the Solution Works
Our system combines advanced biotechnology and data science to craft a personalised treatment roadmap for each patient:
- In-depth Genetic Data Analysis
AI processes genetic data from sources such as Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), and Targeted Gene Panels using bioinformatics and deep learning algorithms to:
- Identify genetic variants: Detect mutations, single nucleotide polymorphisms (SNPs), and structural changes related to disease or drug response.
- Analyse gene expression: Determine gene activity levels to identify pathological pathways or treatment targets.
- Integration with Clinical Data
AI integrates genetic insights with Electronic Health Records (EHRs), including:
- Diagnoses and disease stage
- Treatment history and previous responses
- Biochemical and haematological parameters
- Creation of Personalised Patient Profiles
AI synthesises genetic and clinical data to create a comprehensive and unique biological and medical profile for each patient.
- AI-Driven Personalised Treatment Recommendations
Using machine learning models, the system predicts:
- Drug responsiveness: Identifies medications most likely to be effective for the patient based on their genetic profile (e.g. pharmacogenomics).
- Risk of side effects: Flags drugs that may cause serious adverse reactions and suggests safer alternatives.
- Optimal dosage: Calculates the most accurate dosage based on the patient’s metabolic profile encoded in their genes.
- Targeted therapies: Particularly in oncology, AI identifies molecular targets and recommends precision therapies.
- Clinical Decision Support
The solution generates detailed, clinician-friendly reports to support informed and personalised medical decision-making.
Core Technologies & Competitive Advantages
Our solution is built on state-of-the-art AI and biotechnology foundations, ensuring precision and innovation:
- Genomics Analysis: Tools and algorithms for sequence alignment, variant calling, and variant annotation.
- Machine Learning & Deep Learning: Advanced models such as Convolutional Neural Networks (CNNs) for gene expression analysis and Graph Neural Networks (GNNs) for gene-protein interaction mapping.
- Natural Language Processing (NLP): Extracts relevant insights from scientific literature, medical databases, and clinical notes to enrich AI’s knowledge base.
- Bioinformatics Databases & Ontologies: Integrates data from major sources like ClinVar, TCGA, and DrugBank using standardised vocabularies for interpreting genetic and pharmacological data.
- Cloud Computing & High-Performance Computing (HPC): Handles vast genomic datasets and complex analyses with high computational power.
Proven Results: Maximising Outcomes and Minimising Risks
With personalised therapy capabilities, our AI solution has helped healthcare partners achieve:
- 20–30% increase in treatment effectiveness: Ensures patients receive therapies aligned with their genetic profiles, maximising treatment success.
- 15–25% reduction in drug-related side effects: Helps avoid severe adverse reactions, improving patient quality of life.
- 10–15% reduction in treatment costs: Cuts waste from ineffective drugs, shortens treatment duration, and reduces complications.
Unlocking the Era of Precision Medicine
This solution is not just a tool — it is a gateway to precision healthcare, offering hope and improved outcomes for millions of patients. By harnessing the power of AI and genomics, we are building the foundation for a future where healthcare is truly tailored to the individual.
