Melissa Haendel

Last updated
Melissa Anne Haendel
Melissa Haendel.jpg
Haendel in 2020
Alma mater Reed College
University of Wisconsin–Madison
Known for Bioinformatics
Scientific career
Institutions Anschutz Medical Campus
Oregon Health & Science University
Oregon State University
Thesis Identification and characterization of the novel gene, axotrophin, using an in vitro gene trap preselection method  (1999)

Melissa Anne Haendel is an American bioinformaticist who is the Sarah Graham Kenan Distinguished Professor at the UNC School of Medicine [1] . She is also the Director of Precision Health & Translational Informatics, Deputy Director of Computational Science at The North Carolina Translational and Clinical Sciences Institute. She serves as Director of the Center for Data to Health (CD2H). Her research makes use of data to improve the discovery and diagnosis of diseases. During the COVID-19 pandemic, Haendel joined with the National Institutes of Health to launch the National COVID Cohort Collaborative (N3C), which looks to identify the risk factors that can predict severity of disease outcome and help to identify treatments.

Contents

Early life and education

Haendel earned her undergraduate degree in chemistry at Reed College. [2] Her undergraduate dissertation looked at designing pharmaceuticals using molecular electrostatic potentials (MEPs) to construct quantitative structure-activity relationships. [3] She moved to the University of Wisconsin–Madison for her graduate studies, where she used in vitro gene trapping to study the gene axotrophin. [4] Her early career focussed on genetics and molecular biology. [5] In 2000 she moved to the University of Oregon as a postdoctoral researcher studying the role of thyroid hormones in the neural development of zebrafish.

Research and career

Haendel speaks at the National Human Genome Research Institute in 2016 Melissa Haendel at GM9 Next Steps Discussion.jpg
Haendel speaks at the National Human Genome Research Institute in 2016

Haendel started working in healthcare informatics in 2004. [5] She switched the focus of her research from neuroscience and the biology of zebrafish to the development of resources for the Oregon Health & Science University library. She was promoted to Associate Professor of Medical Informatics in 2015.[ citation needed ]

Haendel's research considers ontology development, biocuration and data harmonization. [5] Biocuration assembles information from patient records, research outputs and medical literature to create a quality-controlled, computable format. [5] She was previously the Director of Translational Data Science at the Linus Pauling Institute. [6] . She previously held the position of Chief Research Informatics Officer at the University of Colorado Anschutz Medical Campus. [7] .

Haendel believes that a globally consistent set of criteria, more comprehensive data collection, sharing and analysis will help to diagnose rare diseases. [8] Rare diseases are thought to impact 10% of the global population, meaning that there are considerable numbers of patients who are underserved by their healthcare systems. [9] In 2019, Haendel and the CD2H were awarded almost $9 million to make data related to cancer research more centralised and organised. [10] The Center for Cancer Data Harmonization makes use of a cloud-based portal to share data between physicians and cancer researchers across the country. [11]

During the COVID-19 pandemic, the United States had no standardised means to collect and share clinical data. [12] [13] Haendel was concerned that the number of deaths and infections were not being accurately counted, and that this might compromise safe reopening. [14] In June 2020, Haendel formed the National COVID Cohort Collaborative (N3C), [15] which collates and analyses the medical record data of people with coronavirus disease. [16] The N3C looks to identify the risk factors that can predict severity of coronavirus disease and help to identify potential treatments. [16] It has work streams in data partnership, phenotypes, collaborative analytics, data harmonisation and data synthesis.[ citation needed ]

Selected publications

Related Research Articles

A rare disease is a disease that affects a small percentage of the population. In some parts of the world, the term orphan disease describes a rare disease whose rarity results in little or no funding or research for treatments, without financial incentives from governments or other agencies. Orphan drugs are medications targeting orphan diseases.

Oregon Health & Science University (OHSU) is a public research university focusing primarily on health sciences with a main campus, including two hospitals, in Portland, Oregon. The institution was founded in 1887 as the University of Oregon Medical Department and later became the University of Oregon Medical School. In 1974, the campus became an independent, self-governed institution called the University of Oregon Health Sciences Center, combining state dentistry, medicine, nursing, and public health programs into a single center. It was renamed Oregon Health Sciences University in 1981 and took its current name in 2001, as part of a merger with the Oregon Graduate Institute (OGI), in Hillsboro. The university has several partnership programs including a joint PharmD Pharmacy program with Oregon State University in Corvallis.

Biomedical text mining refers to the methods and study of how text mining may be applied to texts and literature of the biomedical domain. As a field of research, biomedical text mining incorporates ideas from natural language processing, bioinformatics, medical informatics and computational linguistics. The strategies in this field have been applied to the biomedical literature available through services such as PubMed.

The Open Biological and Biomedical Ontologies (OBO) Foundry is a group of people who build and maintain ontologies related to the life sciences. The OBO Foundry establishes a set of principles for ontology development for creating a suite of interoperable reference ontologies in the biomedical domain. Currently, there are more than a hundred ontologies that follow the OBO Foundry principles.

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tranSMART

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References

  1. "Melissa Haendel, PhD, FACMI". https://www.med.unc.edu/genetics/directory/melissa-haendel-phd-facmi/ .{{cite web}}: External link in |website= (help); Missing or empty |url= (help)
  2. "Melissa A. Haendel Ph.D. | OHSU People | OHSU". www.ohsu.edu. Retrieved 2020-06-28.
  3. Haendel, Melissa Anne (1991). Designing drugs: a new method using MEPs in constructing QSARs (Thesis). OCLC   268802607.
  4. Haendel, Melissa A (1999). Identification and characterization of the novel gene, axotrophin, using an in vitro gene trap preselection method. OCLC   608882841.
  5. 1 2 3 4 "Melissa Haendel, PhD | AMIA". www.amia.org. Retrieved 2020-06-28.
  6. "Melissa A. Haendel". Linus Pauling Institute. 2018-03-21. Retrieved 2020-06-28.
  7. "Melissa A. Haendel joins CU Anschutz as Chief Research Informatics Officer". CU Anschutz. 2021-03-04. Retrieved 2022-05-25.
  8. "Scientists suggest new solution to the rare-disease problem". EurekAlert!. Retrieved 2020-06-28.
  9. Haendel, Melissa; Vasilevsky, Nicole; Unni, Deepak (1 February 2020). "How many rare diseases are there?". Nature Reviews Drug Discovery . 19 (2): 77–78. doi:10.1038/D41573-019-00180-Y. ISSN   1474-1776. PMC   7771654 . PMID   32020066. Wikidata   Q89532791.
  10. "OSU awarded $8.8M grant to make cancer research accessible". KEZI News. Retrieved 2020-06-28.
  11. "Oregon State to help lead effort to make cancer research data more useful and accessible". Life at OSU. 2019-10-15. Retrieved 2020-06-28.
  12. sources, KTVZ news (2020-06-22). "OSU to use power of big data to help fight against COVID-19". KTVZ. Retrieved 2020-06-28.
  13. "Enlisting big data to accelerate the COVID-19 fight - News". UAB News. Retrieved 2020-06-28.
  14. Staff, Lincoln Graves, KATU (2020-05-18). "Accurate data on coronavirus still lacking in many areas". KATU. Retrieved 2020-06-28.{{cite web}}: CS1 maint: multiple names: authors list (link)
  15. "N3C Team". NIH NCATS.
  16. 1 2 "NIH launches analytics platform to harness nationwide COVID-19 patient". National Center for Advancing Translational Sciences. 2020-06-15. Retrieved 2020-06-28.