Updates

Data Science Hub

 Accelerating breakthroughs

The Data Science Hub at Texas Children’s Hospital uses bioinformatics, biostatistics, machine learning/artificial intelligence, and computational biology to analyze vast amounts of data quickly and efficiently, helping researchers significantly speed up the pace of discovery.

Meet our teams

Biostatistics

We're a team of statisticians, biostatisticians, data analysts, and researchers who apply rigorous statistical techniques to a wide variety of biological, medical, and public health research.

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Computational biology

We're a dedicated bioinformatics team that uses computational approaches to drive biological discoveries.

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Biomedical informatics

Our team of specialists provides essential support to practitioners and researchers so that they can best manage and use clinical and biomedical data.

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Machine learning/AI

Our interdisciplinary team combines expertise in machine learning, natural language processing, artificial intelligence, and healthcare to develop and apply innovative tools for analyzing clinical notes.

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Recent publications

Read about some of our recent collaborations:

Computational Biology

We recently used RNA-seq and CUT&RUN bioinformatics analyses to help uncover the molecular mechanisms underlying MeCP2 syndrome, a neurological disease.

Read the study

Biomedical Informatics

We developed PARMESAN, an innovative tool that leverages biomedical literature to predict and prioritize novel drug-gene relationships, potentially revolutionizing treatment.

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Biostatistics

We developed a validated Gastrointestinal Health Scale for MECP2 Duplication Syndrome, which can be used clinically and in studies seeking new treatments.

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Machine Learning

We developed AI-MARRVEL, an AI tool that diagnoses genetic disorders more accurately than existing methods and can potentially discover novel disease genes.

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