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Enhancing Data Science and Genomics Capacity of a Historically Black Medical College Through Interdisciplinary Training and Research Collaborations.

J Biotechnol Biomed

October 2024

Department of Biochemistry, Cancer Biology, Neuroscience and Pharmacology, School of Medicine, Meharry Medical College, Nashville, TN, USA.

As data grows exponentially across diverse fields, effectively leveraging big data has become increasingly crucial. In data science and computational genomics, however, minority groups, including African Americans, are significantly underrepresented, coupled with the lack of resources and infrastructure in minority-serving institutions. This paper summarizes the second phase of our funded project that aims to enhance the data science capacity of Meharry Medical College (MMC), a Historically Black College/University (HBCU), by providing training and fostering collaborations between data scientists and researchers in basic science and biomedical fields.

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Aim: Cytoreductive surgery provides a chance for long-term survival and cure in selected patients with colorectal peritoneal metastases. As clinical and academic interest in this field increases, heterogeneity in outcome reporting hinders the valid and meaningful synthesis of data into high-quality meta-analyses. The aim of this systemic review was to investigate variability in outcome reporting following cytoreductive surgery with or without intraperitoneal chemotherapy for colorectal peritoneal metastases.

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Introduction: Single-cell RNA-seq (scRNA-seq) revolutionized our understanding of tissue complexity in health and disease and revealed massive transcriptional dysregulation across placental cell classes in early-onset, but not late-onset preeclampsia (PE). However, the multinucleated syncytium is largely inaccessible to cell dissociation. Nuclei isolation and single-nuclei RNA-seq may be preferable in the placenta; not least considering compatibility with long-term tissue storage.

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Background: While large language models like ChatGPT-4 have demonstrated competency in English, their performance for minority groups speaking underrepresented languages, as well as their ability to adapt to specific socio-cultural nuances and regional cuisines, such as those in Central Asia (e.g., Kazakhstan), still requires further investigation.

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Clinical research has historically failed to include representative levels of historically underrepresented populations and these inequities continue to persist. Ensuring representativeness in clinical trials is crucial for patients to receive clinically appropriate treatment and have equitable access to novel therapies; enhancing the generalizability of study results; and reducing the need for post-marketing commitments focused on underrepresented groups. As demonstrated by recent legislation and guidance documents, regulatory agencies have shown an increased interest in understanding how novel therapies will impact the patient population that will receive them.

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