Grants per year
Personal profile
Certifications and Licenses
Clinical Genetics (MD) | |
Obstetrics & Gynecology |
Training Experience
1984 | Internship, North Shore University Hospital |
1987 | Residency, North Shore Univ. Hospital (New York) |
1989 | Fellowship, University of Tennessee Medical Center |
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
MD, Medicine, Cornell University Medical College
… → 1983
Research interests keywords
- Amniocentesis
- Chorionic Villi Sampling
- Contraception
- Genetic Counseling
- Genetics - Cancer
- Genetics - Common Diseases
- Genetics - Reproductive
- Hormonal Problems
- Ovarian Cancer Screening
- Preconception Genetics
- Prenatal Diagnosis
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Collaborations and top research areas from the last five years
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Prot #MK-8415-060-02: A Phase 3, Open-label, Multi-center, Single Arm Study to Assess Contraceptive Efficacy and Safety of the Etonogestrel (MK-8415) Implant During Extended Use From 3 Years After Insertion in Females 35 Years of Age or Younger
DrugDev Inc., Merck Sharp & Dohme Corporation
3/9/21 → 3/9/24
Project: Research project
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Prot #PRO-109-HCP: Collection of Samples for Analytical Validation of a Hereditary Cancer Gene Sequencing Panel
4/5/18 → 4/5/21
Project: Research project
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Stellate Ganglion Blockade for the Management of Vasomotor Symptoms
Walega, D. R. & Shulman, L. P.
8/1/16 → 3/13/23
Project: Research project
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Prot #MK-8342B-059-00: A Phase 3 Randomized, Double-Blind, Placebo-Controlled Trial to Study the Efficacy and Safety of MK-8342B (ENG-E2 Vaginal Ring) in Women with Moderate to Severe Primary Dysmenorrhea (with Optional Extension)
Merck Sharp & Dohme Corporation
6/23/16 → 6/23/19
Project: Research project
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Capillary blood collection: exploring a new method to promote noninvasive prenatal screening access
Ehrich, M., Sagaser, K. G., Porreco, R. P., Bellesheim, D., Patil, A. S., Shulman, L. P. & Van Den Boom, D., Jul 2023, In: American journal of obstetrics and gynecology. 229, 1, p. 75-76 2 p.Research output: Contribution to journal › Letter › peer-review
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A critical appraisal of safety data on dydrogesterone for the support of early pregnancy: a scoping review and meta-analysis
Katalinic, A., Shulman, L. P., Strauss, J. F., Garcia-Velasco, J. A. & van den Anker, J. N., Aug 2022, In: Reproductive biomedicine online. 45, 2, p. 365-373 9 p.Research output: Contribution to journal › Review article › peer-review
Open Access12 Scopus citations -
Iron Deficiency in Women’s Health: New Insights into Diagnosis and Treatment
Moisidis-Tesch, C. M. & Shulman, L. P., Jun 2022, In: Advances in Therapy. 39, 6, p. 2438-2451 14 p.Research output: Contribution to journal › Review article › peer-review
5 Scopus citations -
Should preimplantation genetic testing for polygenic disease be offered to all – or none?
Treff, N. R., Savulescu, J., de Melo-Martín, I., Shulman, L. P. & Feinberg, E. C., Jun 2022, In: Fertility and Sterility. 117, 6, p. 1162-1167 6 p.Research output: Contribution to journal › Editorial › peer-review
Open Access2 Scopus citations -
Disparities among infertility patients regarding genetic carrier screening, sex selection, and gene editing
McQueen, D. B., Warren, C. M., Xiao, A. H., Shulman, L. P. & Jain, T., Sep 2021, In: Journal of Assisted Reproduction and Genetics. 38, 9, p. 2319-2325 7 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Datasets
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Clinical Performance Comparison of Two In-Vitro Diagnostic Multivariate Index Assays (IVDMIAs) for Presurgical Assessment for Ovarian Cancer Risk
Shulman, L. P. (Creator), Francis, M. (Contributor), Bullock, R. (Creator) & Pappas, T. (Creator), Adis Journals, 2019
DOI: 10.6084/m9.figshare.8229830, https://adisjournals.figshare.com/articles/Clinical_Performance_Comparison_of_Two_In-Vitro_Diagnostic_Multivariate_Index_Assays_IVDMIAs_for_Presurgical_Assessment_for_Ovarian_Cancer_Risk/8229830
Dataset