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Simon Hanassab

Showing results (1-10 of 7) with videos related to

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Current Opinion in Endocrine and Metabolic Research|January 16, 2023
Quantitative approaches in clinical reproductive endocrinologyMargaritis Voliotis, Simon Hanassab, Ali Abbara, et al.
Npj Women'S Health|December 4, 2025
Identifying nutraceutical targets to treat polycystic ovary syndrome using graph representation learningSimon Hanassab, Joshua Southern, Ayomide V Olabode, et al.
NPJ Digital Medicine|March 1, 2024
The prospect of artificial intelligence to personalize assisted reproductive technologySimon Hanassab, Ali Abbara, Arthur C Yeung, et al.
Nature Communications|January 8, 2025
Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conceptionSimon Hanassab, Scott M Nelson, Artur Akbarov, et al.
The Journal of Clinical Endocrinology and Metabolism|September 29, 2025
Modelling Follicular Growth During Ovarian Stimulation Using Agent-based Artificial IntelligenceArtsiom Hramyka, Thomas W Kelsey, Simon Hanassab, et al.
Fertility and Sterility|November 17, 2023
Quantifying the variability in the assessment of reproductive hormone levelsAli Abbara, Sophie Adams, Maria Phylactou, et al.
Frontiers in Endocrinology|December 16, 2022
Insulin-like peptide 3 (INSL3) in congenital hypogonadotrophic hypogonadism (CHH) in boys with delayed puberty and adult menAli Abbara, Kanyada Koysombat, Maria Phylactou, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Current Opinion in Endocrine and Metabolic Research|January 16, 2023
Quantitative approaches in clinical reproductive endocrinologyMargaritis Voliotis, Simon Hanassab, Ali Abbara, et al.
Npj Women'S Health|December 4, 2025
Identifying nutraceutical targets to treat polycystic ovary syndrome using graph representation learningSimon Hanassab, Joshua Southern, Ayomide V Olabode, et al.
NPJ Digital Medicine|March 1, 2024
The prospect of artificial intelligence to personalize assisted reproductive technologySimon Hanassab, Ali Abbara, Arthur C Yeung, et al.
Nature Communications|January 8, 2025
Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conceptionSimon Hanassab, Scott M Nelson, Artur Akbarov, et al.
The Journal of Clinical Endocrinology and Metabolism|September 29, 2025
Modelling Follicular Growth During Ovarian Stimulation Using Agent-based Artificial IntelligenceArtsiom Hramyka, Thomas W Kelsey, Simon Hanassab, et al.
Fertility and Sterility|November 17, 2023
Quantifying the variability in the assessment of reproductive hormone levelsAli Abbara, Sophie Adams, Maria Phylactou, et al.
Frontiers in Endocrinology|December 16, 2022
Insulin-like peptide 3 (INSL3) in congenital hypogonadotrophic hypogonadism (CHH) in boys with delayed puberty and adult menAli Abbara, Kanyada Koysombat, Maria Phylactou, et al.
Pageof 1