Bio-Explore

Our vehicle to lead a creative, collaborative, impactful journey into the interdisciplinary areas of biotech towards building deep-learning empowered applications.

Objectives

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  • Identify use-cases and problems within the pharma, biotech, and related industries
  • Develop new interdisciplinary R&D concepts to face challenging problems
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  • Ground with market needs and gaps
  • Develop networking and business; build partnerships with appropriate stakeholders

Expected outcomes

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  • Deliver novel concept proposals.
  • Develop outputs towards the R&D pipeline to develop PoC/MVPs.
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  • Exploitation of PoC/MVPs leading to partnerships, fund-raising, final products.
  • Offer new custom tailored solutions and services to industries/end-users.

Bio-Explore at the heart of our pipeline

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Example of our up to now work:

DeNViS in Virtual Screening for drug discovery.

Seed tracks within the area of single-cell multi-omics' integrations.

An interdisciplinary team

Science: Bio-Informatics/Computational Biology R&D

Computational Biology and Bioinformatics R&D experts with mixed academic and  industrial backgrounds.

Business: Strategic, Market and Business Intelligence

Market analysts and business intelligence bio/health experts with diverse backgrounds.

Machine Learning

Machine learning experts from within deeplab.ai provide state-of-the art deep-learning powered  support.

Mentors and Advisors

Outstanding experts with long experience, in both industry and/or academia who serve as mentors and advisors. [Open Call]

Bio-Explorers. Science and Business

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Alexandros Pittis

Research Associate-EU Molecular Biology Laboratory (EMBL)

PhD (CRG/UPF, 2016) in comparative genomics, phylogenomics, and cellular evolution.  Served as post-doctoral research scientist at the American Museum of Natural History (AMNH), EMBO post-doctoral fellow at the University  of British Columbia (UBC), and independent research fellow at the Berlin Institute for Advanced Study (WIKO). Strong interest in genome analysis and protein evolution, keen on exploiting evolutionary information to address biological questions.

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Stefanos Leptidis

Postdoctoral Researcher in Cardiac Transcriptomics and Data Analysis

PhD (Maastricht University, 2013) in microRNA and PPAR regulation of cardiac metabolism, following an MSc in Cancer Genomics and Developmental Biology (Utrecht University, 2009). Post-doctoral researcher in single-cell RNA sequencing in the heart (Karolinska Intitute, 2016-2019) and single-cell microRNA sequencing (Agricultural University of Athens, 2020-today). Extensive experience in laboratory research techniques, specializing in cardiac transcriptomics and non-coding RNAs, as well as bioinformatic approaches for big data analyses.

Linkedin: Stefanos Leptidis  

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Efthymios Vogiatzis

HealthTech Business & Market Analysis Consultant

MSc in Healthcare Operations Management (University of Warwick, UK), MBA (University of Winchester, UK), MPharm (Comenius University, Slovakia). Healthcare and IT professional, committed to the design and implementation of innovative strategies for future-proof organisations. Possess over 10 years of experience in leading new products from ideas to market by enhancing and improving existing processes with virtual and multi-cultural teams.

Linkedin  Efthymios Vogiatzis 

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Oana Florean 

Bioinformatician

Oana has an education in biotech research, she graduated M.Sc. in Neurochemistry from Stockholm University and Karolinska, Sweden and an expertise in data science, she worked more than four years as a research scientist and currently working as a data scientist on life science topics. She contributed to EU R&D projects by modeling genomic data for biomarkers discovery and assembling adverse outcomes pathways (AOPs) for mechanistic insights of diseases. Oana is resourceful and efficient, she enjoys fantasy books and math puzzles.

Linkedin:  Oana Florean 

Seed Bio-Explore Projects

Single-cell multi-omics: projects on single-cell (SC) RNA-seq data and other modalities integration.

Genotype-phenotype associations: Linking cancer genomic and transcriptomic variance to treatment. [Cancer treatment, personalized, precision oncology].

Gene therapy: adeno-associated viral  vectors (AAV) for treating and curing disease.

Cell Free DNA: Early cancer diagnosis and management.

Specialized virtual screening: Sequence diversity-informed for G protein-coupled Receptors (GPCRs) allosteric drug discovery.

More information to follow soon. Stay tuned.

What people say about Bio-Explore

"At the crossroads of biomedical science and machine learning, Bio-Explore is a pioneering effort to develop real-world data driven applications grounded in deep biological insights. I am very excited to be part of such a cutting-edge endeavor, as the global focus shifts into novel therapeutic developments."

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Stefanos Leptidis
Postdoctoral Researcher in Cardiac Tramscriptomics and Data Analysis

"The Bio-Explore  concept pipeline can help biotech organisations innovate and become both future-ready and future-proof. I am really proud to participate in a project with a particular focus on breakthrough, market-creating and deep-tech innovation in healthcare."

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Efthymios Vogiatzis
HealthTech Business & Market Analysis Consultant

"Free your experts and the ideas will follow! With Bio-Explore at Deeplab we are openly exploring the emerging landscape at the intersection of biology, biomedicine, and AI. Creative things to come."

 

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Alexandros Pittis
Research Associate- EU Molecular Biology Laboratory

Call for participation

Are you an expert in the related fields ?

Work for or represent a related industry ? Seek for a partnership ?

Seek for a team with high-expertise in AI/deep-learning ?

We also look for fund-raising, building joint ventures, having strategic advisors and partners.