Our broad range of expertise in bioinformatics and machine learning allows for efficient, multi-evidence identification and stratification of leading candidate targets.

• Prediction of similarities in drug effects
• Protein-DNA and protein-RNA interaction analysis
• Differential gene expression analysis
• Translation analysis with mass-spectrometry and ribosome profiling
• Functional characterisation of affected gene sets
• Literature data mining for target evidence and mechanism of action

Biomarker signatures of a patient’s response to the treatment to improve statistical power of trial.

• Patient stratification associated with overall survival
• Prediction of response and survival
• Publication and reporting
• Discovery of novel biomarkers
• Surrogate markers for safety and efficacy
• Better understanding of biology

Ardigen’s disease model design enables preclinical studies of pharmacological properties.

• Experimental design
• Data management
• Indication suggestion
• Meta-analyses
• Biomarker identification

Biomarker signatures of a patient’s response to the treatment to improve statistical power of trial.

• Patient stratification associated with overall survival
• Prediction of response and survival
• Publication and reporting
• Discovery of novel biomarkers
• Surrogate markers for safety and efficacy
• Better understanding of biology

• Custom methods leveraging AI/Data Science in your challenging R&D projects
• Broad applications: Biomarker Discovery, NLP for knowledge extraction, MLOps for production and experimental AI pipelines, etc.
• Research in collaboration with renowned academic groups on the development and application of novel deep learning methods (adversarial networks, semi-supervised learning, graph-representation learning, etc.)

• Advanced Computer Vision pipelines with diverse applications in biomedical imaging
• Automated assessment of pathological changes outperforming human experts
• High-content phenotypic screening (HCS) with superior image-based compound fingerprints
• Robust image processing aimed at improving prediction properties
• Interpretability, quality control, automatic segmentation of tissues

• In-house COPTIC technology for molecule property prediction and optimization
• Based on cutting-edge research (presented at NeurIPS 2019 and 2020)
• Validated in vitro Flexible (custom rules and constraints on the chemical space)
• Augments your medicinal chemists’ efforts with quick iterations

• Custom solutions based on our PRISM technology
• Works with any protein type to address your specific challenges
• Protein property prediction and optimization for properties, such as binding, stability, immunogenicity, interactions, etc.
• Suggests changes in the amino-acid sequence with custom constraints
• Collaboration scenarios tailored to your needs (optimization iterations and/or web application for cloud computing)

• Design, implementation, and tuning of data processing algorithms
• Custom tools for data processing and visualization
• Design and tuning of domain specific databases
• Data lakes and FAIR experimental data management systems

• Large scale, automated production pipelines for RNA-Seq, DNA-Seq, single cell, etc.
• Robust research oriented pipelines
• Pipeline benchmarking and optimization
• High quality and reproducible pipelines

• Kubernetes and Docker-based solutions
• Serverless architectures and microservice-based systems
• MLOps for production and experimental machine learning pipelines
• Cloud based and hybrid systems maintenance and cost optimization

• Technical consulting, systems integration and migration of legacy solutions
• Technical support and maintenance
• User interface and user experience (UX) design
• Security and legal compliance – FDA, HIPAA, HITECH, CLIA