Latest Listicles
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How AI and Machine Learning Can Improve Scientific Data Handling
Scientific researchers are discovering all kinds of applications for artificial intelligence and machine learning (AI/ML). This listicle will explore how AI/ML is being used in scientific research to accelerate discoveries and improve efficiency.
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Genetics in Disease
Some genetic diseases, like sickle cell anemia, are hereditary and present at birth. Others can be caused by spontaneous mutations, either arising from errors in DNA replication or exposure to environmental factors.
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Six Ways Machine Learning Will Transform the Biopharmaceutical Lifecycle
This listicle explores four ways that AI and ML are accelerating the biopharmaceutical lifecycle and two big ways that companies are starting to think about their data differently.
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Four Top Trends in Personalized Medicine
By taking a multidisciplinary approach that integrates engineering, electronics and nanotechnology with state-of-the-art chemistry and molecular diagnostics tools, we are entering a new phase of personalized medicine. Download this listicle to learn more about the four top trends in personalized medicine.
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Advances in Cancer Biology
According to the World Health Organization (WHO), cancer is a leading cause of death worldwide. Furthermore, recent estimates predict that as many as one in two people could develop a form of cancer in their lifetime.
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Advances in Cancer Biology
Download this listicle to learn about developments in immunotherapy, AI/machine learning and cancer vaccines.
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Ten Guidelines for Adopting Ontologies To Create FAIRer Scientific Data
Deciding to implement ontologies into your data management practices can be daunting and a difficult sell to business stakeholders. This article outlines the challenges and offers 10 guidelines for kickstarting your ontologies journey.
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Faster Approaches to Vaccine Design
Download this listicle to learn more about the technologies that have advanced vaccine design including reverse vaccinology 2.0, comparative and subtractive genomics, immunoproteomics and immunopeptidomics, and computational approaches.
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Standardizing Analytical Data With AnIML
This listicle presents AnIML — an open XML-based, vendor-neutral and human-readable file format that can be used to store data from different analytical instruments. This facilitates the achievement of FAIR (i.e., findable, accessible, interoperable and reusable) data which is a prerequisite for proper data management, data stewardship and a successful digital transformation strategy.
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Five Ways Pharma Companies Can Keep Up With Demand
This listicle will explore five key risk factors pharmaceutical facilities need to understand, which they can then ultimately renovate to improve output.
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