{"id":3294,"date":"2022-09-19T13:25:14","date_gmt":"2022-09-19T13:25:14","guid":{"rendered":"https:\/\/avadawebsites.wpengine.com\/business\/?page_id=8"},"modified":"2025-11-10T17:20:11","modified_gmt":"2025-11-10T16:20:11","slug":"business-home-alternate","status":"publish","type":"page","link":"https:\/\/www.upo.es\/investiga\/synergialab\/","title":{"rendered":"Home"},"content":{"rendered":"

<\/span><\/div><\/div><\/div>

UPO<\/p>\n

SynergIA Lab<\/p><\/h1><\/div>

The UPO SynergIA Laboratory (SIALAB) promotes synergy-driven research by bridging artificial intelligence and supercomputing with social and life sciences, addressing complex challenges through interdisciplinary collaboration.<\/p>\n<\/div>

About our research<\/span><\/i><\/a><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>
<\/svg><\/div>
<\/div><\/div><\/div><\/div><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div>
Interdisciplinary expertise<\/h5><\/div>

AI, HPC integration in social and life sciences.<\/p>\n<\/div><\/div><\/div>

Scalable and Innovative Solutions<\/h5><\/div>

Scalable solutions oriented to real-world challenges.<\/p>\n<\/div><\/div><\/div>

Academic-industry collaboration<\/h5><\/div>

Research, knowledge transfer and exchange.<\/p>\n<\/div><\/div><\/div>

Social and scientific impact<\/h5><\/div>

Health, sustainability, and social well-being.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

<\/div><\/div>
<\/i>
<\/span><\/a><\/div>

13th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2026)<\/a><\/h2>

July 15<\/span> - July 17<\/span><\/h4><\/div>

The IWBBIO 2026 (13th International Work-Conference on Bioinformatics and Biomedical Engineering) seeks to continue the good synergy obtained [\u2026]<\/p>\n<\/div><\/div><\/div><\/div>

<\/div>
<\/div><\/div><\/div>
View events<\/span>View events<\/span><\/div><\/i><\/a><\/div><\/div><\/div>

Events<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/i>
\n

New paper published on biclustering in bioinformatics with Big Data and HPC<\/a><\/h4><\/div>
<\/div><\/article>\n<\/div><\/div>
Read news<\/span>Read news<\/span><\/div><\/i><\/a><\/div><\/div><\/div>

News<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/i>
\n

HPC in cancer research: New paths toward identifying potential biomarkers<\/a><\/h4><\/div>
<\/div><\/article>\n<\/div><\/div>
Read blog<\/span>Read blog<\/span><\/div><\/i><\/a><\/div><\/div><\/div>

Blog<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

<\/div><\/div>

Disciplines<\/p><\/h1><\/div>

SIALAB\u2019s<\/strong> disciplines combine Artificial Intelligence (AI) and High-Performance Computing (HPC) to tackle major challenges in health, biology, data infrastructure, and society through interdisciplinary research.<\/div><\/div><\/div><\/div>
<\/i>

Multimodal AI for Health<\/h4><\/div>

Development of AI models integrating clinical, omics, imaging and biomedical textual data for advanced healthcare applications.<\/p>\n<\/div><\/div><\/div>

Health AI<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/i>

HPC and Supercomputing<\/h4><\/div>

Design and optimization of high-performance infrastructures to accelerate large-scale scientific computing.<\/p>\n<\/div><\/div><\/div>

Computer Science<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/i>

AI-Driven Biomedicine<\/h4><\/div>

Application of AI algorithms to biological data for pattern discovery, feature extraction and biomarker identification.<\/p>\n<\/div><\/div><\/div>

Health AI<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/i>

Big Data Analytics<\/h4><\/div>

Scalable analysis and mining of massive, heterogeneous and high-dimensional datasets using AI techniques across scientific and societal domains.<\/p>\n<\/div><\/div><\/div>

Computer Science<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/i>

AI and HPC for Societal Systems<\/h4><\/div>

Use of AI and HPC to model and analyze social, cultural, environmental and policy-related complex systems and challenges.<\/p>\n<\/div><\/div><\/div>

Societal Applications<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/i>

Data management and FAIR principles<\/h4><\/div>

Efficient management and sharing of scientific data following FAIR (Findable, Accessible, Interoperable, Reusable) principles.<\/p>\n<\/div><\/div><\/div>

Computer Science<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n

<\/div>
<\/div><\/div>

Not where you\u2019re from, but where we\u2019re going \u2014 together.<\/h2><\/div>