Indonesian kalkulator of oocytes (IKO): A smart application to determine our biological age

Wiweko, Budi; Narasati, Shabrina; Agung, Prince Gusti; Zesario, Aulia; Wibawa, Yohanes Satrya; Maidarti, Mila; Harzif, Achmad Kemal; Pratama, Gita; Sumapraja, Kanadi; Natadisastra, Muharam; Hestiantoro, Andon

doi:10.1063/1.5023986

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Another application that was created to determine the biological age is the Indonesian Kalkulator of Oocytes [ Figure 8 ]. [ 18 ] This application uses the anti-Müllerian hormone (AMH) level as a biological marker for predicting biological age. Conversely, if the user wants to determine their AMH levels, they can enter their biological age.…”

Section: Discussionmentioning

confidence: 99%

“…proved that the AMH level can be used as an early predictor of the biological age of women than follicle-stimulating hormone and antral follicle count. [ 15 16 17 18 ]…”

Section: Discussionmentioning

confidence: 99%

“… Indonesian Kalkulator of Oocytes platform [Reproduce with permission from Wiweko B, Narasati S, Agung PG, Wibawa YS, Maidarti M. Indonesian Kalkulator of Oocytes (IKO): A Smart Application to Determine our Biological age; AIP Conference Proceedings; 2018;1933;040016]. [ 18 ] …”

Section: Discussionmentioning

confidence: 99%

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Future of Health Services: The Role of Physicians in the Disruptive Era

Wiweko

Zakirah

2020

J Hum Reprod Sci

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This article aimed to address the role of physicians in future health in the disruptive era. Physicians in this disruptive era must increase their capability and knowledge to compensate for this development. Advances in technology increase the impact on health care and the significance of disruption. Disruptive innovation encompasses several fields, such as physics, digital, and biology. Big data as one of the most important parts in clinical aspects encompass high-throughput cellular and protein-binding assays toward chemoinformatic-driven databases. Health status can be modified by changing epigenetic factor, such as lifestyle and environment. As a result, they affect human genetics and provide the insight of pathophysiology of disease, clinical treatment, and early preventive action. Disruptive innovations in health-care align with the development of artificial intelligence, machine learning, robotics, Internet of things, digitalization, and genomics. New paradigm shifting in physician–patient relationships is relevant to consumer health informatics.

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Section: Discussionmentioning

confidence: 99%

“…proved that the AMH level can be used as an early predictor of the biological age of women than follicle-stimulating hormone and antral follicle count. [ 15 16 17 18 ]…”

Section: Discussionmentioning

confidence: 99%

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Future of Health Services: The Role of Physicians in the Disruptive Era

Wiweko

Zakirah

2020

J Hum Reprod Sci

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Indonesian kalkulator of oocytes (IKO): A validation study to establish smart application to determine biological age

Wiweko¹,

Wibawa²,

Febri³

et al. 2019

AIP Conference Proceedings

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Anti-Mullerian hormone levels in female cancer patients of reproductive age in Indonesia: A cross-sectional study

et al. 2020

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Background: Efforts in reproductive preservation for cancer patients have become one of the important aspects of cancer management. In fact, decline in reproductive function is known to occur after exposure to anti-cancer treatments. Measuring anti-Müllerian hormone (AMH) levels is known to be the best parameter in predicting ovarian reserves, which indicates reproductive function. In total, 68% of cancer survivors of reproductive age who underwent anti-cancer treatments suffer from infertility. Meanwhile, ovarian reserves also decrease with increasing age. There is ongoing debate on whether the ovarian reserves of cancer patients could be reduced long before exposure to anti-cancer therapy. Therefore, it is important to know whether ovarian reserves in cancer patients decrease before or after anti-cancer therapy. This can help predict the reproductive function in such cases and the effectiveness of ovarian preservation efforts. Methods: A cross-sectional study was conducted, comparing the AMH levels of 44 female cancer patients of reproductive age before cancer therapy, to 44 non-cancer patients of reproductive age (age matched). The AMH was determined from blood.The biological ages from both groups were adjusted using the Indonesian Kalkulator of Oocytes. Results: The median age in both groups was 28 years old. The AMH levels in the blood of the cancer group were found to be significantly lower in contrast to those in the non-cancer group (1.11 [0.08-4.65] ng/ml vs. 3.99 [1.19- 8.7]; p- value <0.001). Therefore, the biological age in the cancer group was 10 years older than that of the non-cancer group, indicating that ovarian aging occurs earlier in cancer patients. Conclusions: AMH levels of cancer patients of reproductive age were already reduced before cancer therapy, given an older biological age, in contrast to that of the non-cancer patients. Proper counseling and implementation of fertility-preserving methods is highly recommended in this group of patients.

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Indonesian kalkulator of oocytes (IKO): A smart application to determine our biological age

Cited by 3 publications

References 11 publications

Future of Health Services: The Role of Physicians in the Disruptive Era

Future of Health Services: The Role of Physicians in the Disruptive Era

Indonesian kalkulator of oocytes (IKO): A validation study to establish smart application to determine biological age

Anti-Mullerian hormone levels in female cancer patients of reproductive age in Indonesia: A cross-sectional study

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