Biomax Informatics Investing Big to Develop a Knowledge Solution for Mental Health

Biomax Informatics AG will invest nearly 1 million Euro over the next 4 years to transfer its successful systems medicine approach from respiratory and chronic diseases to mental health. The European Commission is co-financing this step with €650,000 as part of the METSY project. In the project, Biomax will provide the knowledge management platform and data integration for consortium partners from industry, research and clinics who are searching for associations between psychotic disorders, lipid metabolism and metabolism-related diseases such as obesity and diabetes.

Biomax will provide their BioXM™ Knowledge Management Environment to integrate and explore existing knowledge sources about brain structure and function, extend them with information about psychosis and genetic factors derived from the BioLT™ literature-mining software, and combine them with data generated within the METSY project itself including brain imaging (combined MRI and PET), metabolite profiling, and clinical data from approximately 500 patients recruited at four sites in Spain, the United Kingdom and Finland.

The resulting semantic network of psychosis-specific knowledge - generated from associations between structures, functions and molecules (genes, proteins, metabolites, etc.) - can be overlaid with patient-specific data. The standardization of information and data provided by the BioXM system enables algorithmic analysis and fosters collaboration with external, large-scale brain imaging and systems medicine initiatives. In particular, the METSY partners will use network inference to identify and evaluate multi-modal blood and neuroimaging biomarkers that could be used to predict and monitor psychotic disorders like schizophrenia in the context of metabolic diseases. If specific disease-associated patterns are detected in the project, the network can be further explored for potential explanations. After validation, the knowledge base can be used to build a decision support system to bring the results directly into clinical practice.

About METSY
METSY is a European consortium studying the links between psychotic disorders, lipid metabolism and metabolic co-morbidities such as metabolic syndrome and diabetes. The consortium aims to develop neuroimaging and bioinformatics tools to identify possible diagnostic biomarkers of psychosis.

Funded in part by the EU's Seventh Framework Programme, which provided ~€4.23 million of the €5.94 million total budget, the METSY consortium involves seven members who provide the remainder of the funding: VTT Technical Research Center of Finland, University of Turku, Finland's National Institute for Health and Welfare, Kings College London, Madrid Health Service, Philips Research and Biomax Informatics.

About Biomax Informatics AG
Biomax Informatics AG is a leader in the development of computational solutions for the life sciences. Biomax provides the BioXM™ Knowledge Management Environment and other computational solutions, including the Viscovery® data-mining technology, for better decision making and knowledge management in biomarker identification, patient stratification and targeted medicine.

Most Popular Now

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...

NHS National Rehabilitation Centre to De…

The new NHS National Rehabilitation Centre will deploy technology to help patients to maintain their independence as they recover from life-changing injuries and illnesses and regain quality of life. Airwave Healthcare...

AI Finds Hundreds of Potential Antibioti…

Snake, scorpion, and spider venom are most frequently associated with poisonous bites, but with the help of artificial intelligence, they might be able to help fight antibiotic resistance, which contributes...

AI Tool Accurately Detects Tumor Locatio…

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published...

AI can Accelerate Search for More Effect…

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in...

AI Accurately Classifies Pancreatic Cyst…

Artificial intelligence (AI) models such as ChatGPT are designed to rapidly process data. Using the AI ChatGPT-4 platform to extract and analyze specific data points from the Magnetic Resonance Imaging...

Free AI Tools can Help Doctors Read Medi…

A new study from the University of Colorado Anschutz Medical Campus shows that free, open-source artificial intelligence (AI) tools can help doctors report medical scans just as well as more...

Autonomous AI Agents in Healthcare

The use of large language models (LLMs) and other forms of generative AI (GenAI) in healthcare has surged in recent years, and many of these technologies are already applied in...

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...