Nikica Zaninovic, PhD

Professor of Embryology in Clinical Obstetrics and Gynecology

Maternal Fetal Medicine (Obstetrics and Gynecology)

Appointments

Professor of Embryology in Clinical Obstetrics and GynecologyPrimary
Obstetrics and Gynecology · 2026–
Professor of Embryology in Clinical Reproductive Medicine
Reproductive Medicine · 2026–

Past Appointments

Associate Professor of Embryology in Clinical Reproductive Medicine
Reproductive Medicine · 2015–2026
Associate Professor of Embryology in Clinical Obstetrics and Gynecology
Obstetrics and Gynecology · 2015–2026
Tessler Grandchildren Clinical Scholar
Obstetrics and Gynecology · 2010–2016

Show all 9

Assistant Professor of Embryology in Clinical Reproductive Medicine
Reproductive Medicine · 2015–2015
Assistant Professor of Embryology in Clinical Obstetrics and Gynecology
Obstetrics and Gynecology · 2015–2015
Assistant Professor of Reproductive Medicine
Reproductive Medicine · 2009–2015
Assistant Professor of Embryology in Obstetrics and Gynecology
Obstetrics and Gynecology · 2009–2015
Staff Associate in Reproductive Medicine
Reproductive Medicine · 1999–2009
Staff Associate in Obstetrics and Gynecology
Obstetrics and Gynecology · 1995–2009

Centers

Education

Highlights

1 grant

MPI
AI-Driven Embryo Selection Platform for Enhanced Implantation in IVF: A Phased Development and Randomized Clinical Trial
Eunice Kennedy Shriver National Institute of Child Health and Human Development · 2026–2028
R61HD123536-01

Completed grants (1)

PI
Artificial Intelligence Algorithm in ART
Weill Cornell Medical College · 2019–2020
DUA 200035-01

2 studies

PI
Effects of Clinical procedures on IVF and embryology outcomes
Weill Medical College of Cornell University · OPEN TO ACCRUAL (as of 2024)
PI
The Use of Artificial Intelligence for Clinical Assessment of Assisted Reproductive Techniques and IVF Outcomes
NA · Weill Medical College of Cornell University · OPEN TO ACCRUAL (as of 2020)
Infertility; in Vitro Fertilization (IVF); ART
NCT04255615

Completed & closed trials (1)

PI
A Pivotal, Observational, Prospective Assessment Study to Assess the Performance of Fairtility CHLOE BLASTâ ¢ Algorithm for the Prediction of Blastocyst Formation in Women Undergoing In-vitro Fertilization
Fairtility LTD · IRB STUDY CLOSURE (as of 2024)

A Fully Automated AI-Based System for Assessing IVF Embryo Quality
October 22, 2024
A new artificial intelligence-based system can accurately assess the chromosomal status of in vitro-fertilized (IVF) embryos using only time-lapse video images of the embryos and maternal age, according to a study from investigators at Weill Cornell Medicine.
Harnessing Artificial Intelligence Technology for IVF Embryo Selection
December 19, 2022
An artificial intelligence algorithm can determine non-invasively, with about 70 percent accuracy, if an in vitro fertilized embryo has a normal or abnormal number of chromosomes.
Faulty DNA Repair May Lead to BRCA-Linked Cancers
November 15, 2022
Error-prone DNA replication and repair may lead to mutations and cancer in individuals who inherit a mutant copy of the BRCA1 gene, according to a new study by Weill Cornell Medicine investigators.
A Keen Eye: In an IVF Breakthrough, AI Helps Identify the Embryos Most Likely to Lead to Successful Pregnancies
January 9, 2020
In an IVF breakthrough, artificial intelligence helps identify the embryos most likely to lead to successful pregnancies.
Artificial Intelligence Approach Optimizes Embryo Selection for IVF
April 4, 2019
A new artificial intelligence approach by Weill Cornell Medicine investigators can identify with a great degree of accuracy whether a 5-day-old, in vitro fertilized human embryo has a high potential to progress to a successful pregnancy.