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Background: Spinal muscular atrophy (SMA) is characterized by the homozygous deletion of the survival motor neuron-1 gene. Pre-implantation genetic testing for monogenic diseases through in-vitro fertilization program was developed to provide a reliable genetic diagnostic method for SMA. Case presentation: The couple who was confirmed as carriers of SMA visited the Morula IVF Clinic, Jakarta, Indenesia seeking for an in-vitro fertilization expert opinion in relation to the pre-implantation genetic testing for SMA. Utilizing polymerase chain reaction-restriction fragment length polymorphism, we have successfully screened for unaffected embryos that were characterized by a normal presence of the survival motor neuron-1 exon 7-8 and survival motor neuron-2 exon 7-8. The frozen embryo was subsequently transferred and a healthy unaffected female baby was born with undetected deletion of the survival motor neuron-1 gene. Conclusion: This successful embryo pre-implantation screening case could potentially accommodate the demands of genetically at-risk couples who are apprehensive about conceiving a child who might inherit monogenic disorders such as SMA. Key words: In-vitro fertilization, Spinal muscular atrophy, Preimplantation diagnosis.

Background: The purpose of the current study was to reduce the risk of human bias in assessing embryos by automatically annotating embryonic development based on their morphological changes at specified time-points with convolutional neural network (CNN) and artificial intelligence (AI). Methods: Time-lapse videos of embryo development were manually annotated by the embryologist and extracted for use as a supervised dataset, where the data were split into 14 unique classifications based on morphological differences. A compilation of homogeneous pre-trained CNN models obtained via TensorFlow Hub was tested with various hyperparameters on a controlled environment using transfer learning to create a new model. Subsequently, the performances of the AI models in correctly annotating embryo morphologies within the 14 designated classifications were compared with a collection of AI models with different built-in configurations so as to derive a model with the highest accuracy. Results: Eventually, an AI model with a specific configuration and an accuracy score of 67.68% was obtained, capable of predicting the embryo developmental stages (t1, t2, t3, t4, t5, t6, t7, t8, t9+, tCompaction, tM, tSB, tB, tEB). Conclusion: Currently, the technology and research of artificial intelligence and machine learning in the medical field have significantly and continuingly progressed in an effort to develop computer-assisted technology which could potentially increase the efficiency and accuracy of medical personnel’s performance. Nonetheless, building AI models with larger data is required to properly increase AI model reliability.

Objective: To determine the correlation of different serum estradiol levels on the trigger day with the clinical and laboratory outcomes of in-vitro fertilization (IVF) cycles comprising a single fresh top-quality blastocyst transfer. Methods: This was a retrospective observational study performed in Morula IVF Clinic Jakarta. Five hundred forty-two women were recruited and grouped according to their serum estradiol levels on the trigger day of follicular maturation as follows: 0.05). Nonetheless, the study demonstrated a positive correlation of the serum estradiol levels with the overall laboratory outcomes including the number of retrieved, mature, and fertilized oocytes, the total sum of derived embryos, and top-quality embryos at cleavage and blastocyst stage (P

Background: Ca2+ signaling pathway is suggested to play an essential role in mediating oocyte maturation. Aims: The aim of this study was to evaluate intracellular Ca2+ of resistant immature oocytes that failed to resume meiosis following subsequent in vitro culture reach metaphase II after calcium ionophore A23187 activation. Settings and Design: This in vitro analytical experimental study was conducted at Animal Science Laboratory of Indonesian Medical Education and Research Institute (IMERI), Human Reproductive Infertility and Family Planning of IMERI, and Electrophysiology Imaging of Terpadu Laboratory, Faculty of Medicine, University of Indonesia. Methods: A total of 308 oocytes classed as resistant immature following in vitro culture were randomly allocated to control (n = 113) and treatment groups (n = 195). The oocyte activation group was exposed to A23187 solution for 15 min and then washed extensively. Maturation was evaluated by observing the first polar body extrusion 20‒24 h after A23187 exposure. Ca2+ imaging was conducted using a confocal laser scanning microscope to identify the dynamic of Ca2+ response. Statistical Analysis: SPSS 20, Chi-square, and Mann–Whitney U-test were used in this study. Results: Activation of resistant immature oocytes with A23187 significantly increased the number of oocyte maturation compared with the control group (P < 0.001). Furthermore, fluorescent intensity measurements exhibited a significant increase in the germinal vesicle stage when activated (P = 0.005), as well as the metaphase I stage, even though differences were not significant (P = 0.146). Conclusion: Artificial activation of resistant immature oocyte using chemical A23187/calcimycin was adequate to initiate meiosis progress.

In vitro fertilization has been regarded as a forefront solution in treating infertility for over four decades, yet its effectiveness has remained relatively low. This could be attributed to the lack of advancements for the method of observing and selecting the most viable embryos for implantation. The conventional morphological assessment of embryos exhibits inevitable drawbacks which include time- and effort-consuming, and imminent risks of bias associated with subjective assessments performed by individual embryologists. A combination of these disadvantages, undeterred by the introduction of the time-lapse incubator technology, has been considered as a prominent contributor to the less preferable success rate of IVF cycles. Nonetheless, a recent surge of AI-based solutions for tasks automation in IVF has been observed. An AI-powered assistant could improve the efficiency of performing certain tasks in addition to offering accurate algorithms that behave as baselines to minimize the subjectivity of the decision-making process. Through a comprehensive review, we have discovered multiple approaches of implementing deep learning technology, each with varying degrees of success, for constructing the automated systems in IVF which could evaluate and even annotate the developmental stages of an embryo.

Fertility preservation through gamete vitrification has become one of the critical strategies to secure a childbearing potential in patients who are diagnosed with cancer or risks of infertility. Preserving the gametes would prevent the deleterious effects of cancer drugs or radiotherapy exposure on the quality of the gametes. Furthermore

Objective: To compare the effectiveness of blastocyst elective single embryo transfer (eSET) and double embryo transfer (DET) in reducing low birth weight, preterm birth, and perinatal mortality in in vitro fertilization (IVF) cycles of Indonesian women. Methods: A retrospective observational study was conducted at Morula IVF Clinic, Jakarta, Indonesia. A total of 179 women who underwent either eSET or DET and had met the eligibility criteria were included. Seventy-six women underwent eSET while 103 underwent DET in their IVF cycles. Low birth-weight rate, preterm birth rate, and perinatal mortality rate of both groups were measured as the primary study outcomes. Neonatal intensive care unit (NICU) admission rate, Apgar score, multiple pregnancy, and maternal complications during pregnancy were also evaluated. Results: The risk of low birth weight [odds ratio (OR)=0.21, 95% confidential interval (CI): 0.10-0.45, P< 0.001] and preterm birth (0R=0.25, 95% CI: 0.13-0.49, P< 0.001) was significantly lower in the eSET group compared with the DET group. Furthermore, eSET efficiently reduced the incidence of NICU admission and multiple pregnancy (P=0.01 and P< 0.001, respectively). No significant difference was observed in terms of perinatal mortality rate, Apgar score, and maternal complications including gestational diabetes, preeclampsia as well as pregnancy-induced hypertension (P>0.05). However, a lower incidence of antepartum hemorrhage was noticed in the eSET group than in the DET group (P=0.03). Conclusions: Compared with DET, infants conceived through IVF cycles with eSET have a significantly lower risk of low birth weight, preterm birth, and NICU admissions. Moreover, eSET is shown to reduce multiple pregnancy rate, yet no significant differences are observed in the perinatal mortality rates, Apgar score and maternal complications (except for the incidence of antepartum hemorrhage) between both groups.