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Unique volatolomic signatures of TP53 and KRAS in lung cells

British journal of cancer, 2014-07, Vol.111 (6), p.1213-1221

2014

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Unique volatolomic signatures of TP53 and KRAS in lung cells

British journal of cancer, 2014-09, Vol.111 (6), p.1213-1221

2014

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Assosiation between high gonadotropin dosage, euploidy and pregnancy rates in PGT cycles

Fertility and sterility, 2016-09, Vol.106 (3), p.e154-e154

2016

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Clinical pregnancy rates after elective versus non-elective single embryo transfer in PGT cycles

Fertility and sterility, 2016-09, Vol.106 (3), p.e25-e26

2016

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Comparison of clinical pregnancy rates after single embryo transfer of day 5 versus day 6 euploid embryo

Fertility and sterility, 2015-09, Vol.104 (3), p.e94-e94

2015

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High gonadotropin dosage does not affect euploidy and pregnancy rates in IVF PGS cycles with single embryo transfer

Human reproduction (Oxford), 2017-11, Vol.32 (11), p.2209-2217

2017

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3 Gamete and embryo selection in oocyte donation programs

Reproductive biomedicine online, 2011, Vol.22, p.S96-S96

2011

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10: Volatile biomarkers for discrimination of lung cancer risk and mutation

Lung cancer (Amsterdam, Netherlands), 2015, Vol.87, p.S4-S5

2015

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Association between growth dynamics, morphological parameters, the chromosomal status of the blastocysts, and clinical outcomes in IVF PGS cycles with single embryo transfer

Journal of assisted reproduction and genetics, 2017-08, Vol.34 (8), p.1007-1016

2017

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P-170 Clinical evaluation of an image-based artificial intelligence model for embryo selection: a double-blinded randomized comparative reader study

Human reproduction (Oxford), 2024-07, Vol.39 (Supplement_1)

2024

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“EUROWORDS” IN UKRAINIAN WORLD IMAGE DIMENSIONS OF XXI CENTURY (DRAWING ON THE ASSOCIATIVE EXPERIMENT RESULTS)

Movni i kont͡s︡eptualʹni kartyny svitu : zbirnyk naukovykh prat͡s︡ʹ, 2019 (66 (2)), p.17-25

Bohomolets-Barash, O. M.

2019

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P5 Correlation between preimplantation genetic screening for chromosomal aneuploidies and amount of embryos in IVF cycles

Reproductive biomedicine online, 2010, Vol.20, p.S24-S24

2010

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P-599 An expected benefit analysis of using an interpretable machine learning model for optimizing the day of trigger during ovarian stimulation

Human reproduction (Oxford), 2022-06, Vol.37 (Supplement_1)

2022

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P-600 A combined expected benefit analysis of using two machine learning models for optimizing starting gonadotropin dose and day of trigger during ovarian stimulation

Human reproduction (Oxford), 2022-06, Vol.37 (Supplement_1)

2022

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O-014 An expected benefit analysis of using an interpretable machine learning model for gonadotropin starting dose selection during ovarian stimulation

Human reproduction (Oxford), 2022-06, Vol.37 (Supplement_1)

2022

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High accuracy machine learning predictive model for embryo selection in IVF PGT cycles with single embryo transfers

Fertility and sterility, 2018-09, Vol.110 (4), p.e372-e372

2018

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A MACHINE LEARNING APPROACH FOR FORECASTING FOLLICLE GROWTH AND PREDICTING THE OPTIMAL DAY OF TRIGGER DURING OVARIAN STIMULATION

Fertility and sterility, 2021-09, Vol.116 (3), p.e101-e102

2021

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Morphology of the blastocysts is the single most important factor affecting clinical pregnancy rates in IVF PGS cycles with single embryo transfers

Fertility and sterility, 2017-09, Vol.108 (3), p.e99-e99

2017

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P-173 Large-scale simulation of pregnancy rate improvements using an AI model for embryo ranking

Human reproduction (Oxford), 2022-06, Vol.37 (Supplement_1)

2022

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P-171 Sensitivity analysis of an embryo grading artificial intelligence model to different focal planes

Human reproduction (Oxford), 2022-06, Vol.37 (Supplement_1)

2022

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LOW EUPLOIDY RATE DOES NOT AFFECT CLINICAL OUTCOMES IN IVF PGT CYCLES WITH SINGLE EMBRYO TRANSFER (SET) - A 2391 SETS REVIEW

Fertility and sterility, 2020-09, Vol.114 (3), p.e291-e292

2020

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AUTOMATED MORPHOLOGY GRADING OF BLASTOCYST STAGE EMBRYOS FROM A SINGLE IMAGE USING DEEP LEARNING

Fertility and sterility, 2023-10, Vol.120 (4), p.e110-e110

2023

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CLINICAL EVALUATION OF A MACHINE LEARNING MODEL FOR EMBRYO SELECTION: A DOUBLE-BLINDED RANDOMIZED COMPARATIVE READER STUDY

Fertility and sterility, 2023-10, Vol.120 (4), p.e1-e1

2023

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SERGEY YURIEVICH PREOBRAZHENSKIJ: IN MEMORIAM

RUDN Journal of Language Education and Translingual Practices, 2017-12, Vol.14 (4), p.547-555

Barash, O.Y.

2017

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Association between the number of oocytes retrieved, cancellation rates, and clinical outcomes in IVF PGT cycles with single embryo transfer (SET) - a 2273 cycles review

Fertility and sterility, 2019-09, Vol.112 (3), p.e177-e177

2019

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Unique volatolomic signatures of TP53 and KRAS in lung cells

Unique volatolomic signatures of TP53 and KRAS in lung cells

Assosiation between high gonadotropin dosage, euploidy and pregnancy rates in PGT cycles

Clinical pregnancy rates after elective versus non-elective single embryo transfer in PGT cycles

Comparison of clinical pregnancy rates after single embryo transfer of day 5 versus day 6 euploid embryo

High gonadotropin dosage does not affect euploidy and pregnancy rates in IVF PGS cycles with single embryo transfer

3 Gamete and embryo selection in oocyte donation programs

10: Volatile biomarkers for discrimination of lung cancer risk and mutation

Association between growth dynamics, morphological parameters, the chromosomal status of the blastocysts, and clinical outcomes in IVF PGS cycles with single embryo transfer

P-170 Clinical evaluation of an image-based artificial intelligence model for embryo selection: a double-blinded randomized comparative reader study

“EUROWORDS” IN UKRAINIAN WORLD IMAGE DIMENSIONS OF XXI CENTURY (DRAWING ON THE ASSOCIATIVE EXPERIMENT RESULTS)

P5 Correlation between preimplantation genetic screening for chromosomal aneuploidies and amount of embryos in IVF cycles

P-599 An expected benefit analysis of using an interpretable machine learning model for optimizing the day of trigger during ovarian stimulation

P-600 A combined expected benefit analysis of using two machine learning models for optimizing starting gonadotropin dose and day of trigger during ovarian stimulation

O-014 An expected benefit analysis of using an interpretable machine learning model for gonadotropin starting dose selection during ovarian stimulation

High accuracy machine learning predictive model for embryo selection in IVF PGT cycles with single embryo transfers

A MACHINE LEARNING APPROACH FOR FORECASTING FOLLICLE GROWTH AND PREDICTING THE OPTIMAL DAY OF TRIGGER DURING OVARIAN STIMULATION

Morphology of the blastocysts is the single most important factor affecting clinical pregnancy rates in IVF PGS cycles with single embryo transfers

P-173 Large-scale simulation of pregnancy rate improvements using an AI model for embryo ranking

P-171 Sensitivity analysis of an embryo grading artificial intelligence model to different focal planes

LOW EUPLOIDY RATE DOES NOT AFFECT CLINICAL OUTCOMES IN IVF PGT CYCLES WITH SINGLE EMBRYO TRANSFER (SET) - A 2391 SETS REVIEW

AUTOMATED MORPHOLOGY GRADING OF BLASTOCYST STAGE EMBRYOS FROM A SINGLE IMAGE USING DEEP LEARNING

CLINICAL EVALUATION OF A MACHINE LEARNING MODEL FOR EMBRYO SELECTION: A DOUBLE-BLINDED RANDOMIZED COMPARATIVE READER STUDY

SERGEY YURIEVICH PREOBRAZHENSKIJ: IN MEMORIAM

Association between the number of oocytes retrieved, cancellation rates, and clinical outcomes in IVF PGT cycles with single embryo transfer (SET) - a 2273 cycles review

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