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Featured

Computational biology and drug discovery: what to expect in 2023

Computational biology and drug discovery: what to expect in 2023

The year 2022 in computational biology was largely marked by two main advancements:

Most recent

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Connecting the dots: Why knowledge graphs matter

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AI-powered data integration and management with data fabric

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Employee Spotlight with Hung Minh Huynh

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Knowledge graphs and black box LLMs

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NLP, NLU & NLG : What is the difference?

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Natural Language Understanding (NLU) - Basics and Applications in Bioinformatics

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Scaling up drug discovery: Exploring the LENSᵃⁱ approach

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Cracking the Information Integration Dilemma (IID) in systems biology

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Transforming in silico drug discovery with AI

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Employee Spotlight with Michael Best

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Creating a unified data + information architecture for scalable AI

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From FAIR Principles to Holistic Data Management in Life Sciences

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Employee Spotlight with Julie Delanote

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On DNA Day, an ode to genomics

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The Importance of Reproducibility in In-Silico Drug Discovery

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Streamlining In Silico Drug Discovery with Cloud Computing

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Targeting Disease with Precision: A Primer on Antibody Discovery

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Protein structure prediction: On the route from sequence to function

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Scaling up structural biology with AlphaFold2

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Data-Driven Biomedical Research

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Exploring the microbiome's impact on immunotherapy efficacy

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Exploring the microbiome-immune axis

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Making Sense of Multi-Omics Data

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Employee Spotlight with Kevin Renaers

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LENSai™ - biotherapeutic intelligence for precision drug development

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Creating an AI-ready data foundation for successful AI-enabled drug discovery

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Employee Spotlight with Simon Cuppens

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Computational biology and drug discovery: what to expect in 2023

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Our most widely read blogs from 2022

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Notes from BioTechX 2022

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Why we love multi-omics analysis

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Employee Spotlight with Carlo Wouters

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Key elements of successful AI-native drug discovery

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What is a biomarker?

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Precision drugs for the precision medicine era

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Employee Spotlight with Tom Vieijra

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What is precision medicine?

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The role of NGS in breast cancer diagnosis and treatment

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Explained: how to plot the prediction quality metrics with AlphaFold2

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BioStrand MedTech Entrepreneurship Story at TU Delft

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A brief retrospective on our second blogiversary

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AI in Biopharma: Challenges and Opportunities

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Quality Control of RNA-seq Data

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Accelerate Biomarker Discovery with Artificial Intelligence

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Top 4 challenges of equitable precision medicine

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Closing the Gap of Text and the Biosphere with LENSai™

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Explained: A brief look into AlphaFold 2

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AI-powered genomics to advance precision medicine

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AI, NLP and the ROI of drug development

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Accelerating pharma R&D and innovation through technology partnerships

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The BioStrand Interviews: Meet Illia Panin

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Improving Drug Safety with Adverse Event Detection Using NLP

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A Hybrid Approach to NLP in Drug Discovery

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Artificial Intelligence in early phase drug development

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The BioStrand Interviews: Meet Yegor Korovin

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Efficient data integration is the key to effective AI/ML

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Attention Mechanisms, Transformers and NLP

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Data related challenges in NLP

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The BioStrand Interviews: Meet Thijs van Ulden

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Knowledge Graphs & The Power Of Context

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AI, ML, DL, and NLP: An Overview

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Why Is NLP Challenging?

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AI in drug development - toward fully autonomous drug discovery

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AI in drug development - from hype to reality

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The importance of NLP in biomedical research

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Accelerating R&D and innovation in life sciences

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The BioStrand Interviews: Meet Georgios Triantopoulos

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The challenges of cloud-first omics

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Challenges In Multi-Omics Data Integration

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The transformative power of text in multi-omics analysis

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AI/ML, Big Data, and Intelligent Bioinformatics

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The BioStrand Interviews: Meet Sébastien Lemal

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The evolution of bioinformatics

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FAIRify your data: A guiding principle

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Bring Meaning to the Chaotic Space of Omics & Text

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Defining next-generation biobanks

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The metadata challenge in biological research

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Learnings from the global response to the pandemic

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The future of precision medicine

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Integrated microbiome research and crop resilience

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Deciphering the skin microbiome

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Key challenges of single-cell data analysis

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Multidimensional scalability in multi-omics research

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Multi-omics data in biomarker discovery

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Bioinformatics and Microbiome Innovations

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Intelligent Multi-Omics Analysis: the Power of AI/ML

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Build vs. Buy: 7 Pros and Cons to Consider

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Integrated Multi-Omics Analysis: From Data Normalisation to Biological Insight

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The SaaSification of Bioinformatics

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The Imperative for Bioinformatics-as-a-Service

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Democratising Omics Data Analysis with Citizen Data Scientists

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BioStrand - Accelerating towards precision

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Data science challenges in population genomics

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Making all omics data computable

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Can Genetics Research Really Be as Simple as a Google Search?

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The advantage of agnostic technology in bioinformatics: general solutions for specific problems

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Harnessing the power of sequence information to enable the next breakthroughs in biology

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The problem of fast and reliable sequence similarity searching

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Multi-domain analysis: why having multi-omics layers under a single hood matters?

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Omics data analysis and precision medicine

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How companies can reduce costs and gain revenue by improving efficiency in R&D

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Which industries gain most by improving genomic sequence analysis

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How exact matching improves accuracy and efficiency in genomic sequence analysis and speeds up research

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The benefits of having DNA, RNA, and protein analysis in a single tool

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The implications of the Covid-19 crisis on infectious disease analysis

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Why Omics Data Analysis Needs To Be Remade

See More

Popular

Explained: how to plot the prediction quality metrics with AlphaFold2 icon blue arrow

Explained: A brief look into AlphaFold 2 icon blue arrow

AI, ML, DL, and NLP: An Overview icon blue arrow

Artificial Intelligence in early phase drug development icon blue arrow

Knowledge Graphs & The Power Of Context icon blue arrow

Creating an AI-ready data foundation for successful AI-enabled drug discovery icon blue arrow

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