Machine Learning-Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Deve... von Kumar, Mukkesh, Ang, Li Ting, Ho, Cindy, Soh, Shu E, Tan, Kok Hian, Chan, Jerry Kok Yen, Godfrey, Keith M, Chan, Shiao-Yng, Chong, Yap Seng, Eriksson, Johan G, Feng, Mengling, Karnani, Neerja

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Effect of an Asian-adapted Mediterranean diet and pentadecanoic acid on fatty liver disease: the TANGO randomized controlled trial von Chooi, Yu Chung, Zhang, Qinze Arthur, Magkos, Faidon, Ng, Maisie, Michael, Navin, Wu, Xiaorong, Volchanskaya, Vera Sergeyevna Brok, Lai, Xianning, Wanjaya, Elvy Riani, Elejalde, Untzizu, Goh, Chew Chan, Yap, Clara Poh Lian, Wong, Long Hui, Lim, Kevin Junliang, Velan, S. Sendhil, Yaligar, Jadegoud, Muthiah, Mark Dhinesh, Chong, Yap Seng, Loo, Evelyn Xiu Ling, Eriksson, Johan G., Lim, Kezlyn Li Ming, Kouk, Mabel Shu Fung, Mei Chong, Evelyn Wai, Gani, Munirah Abd, Li, Lisha, Tay, Vicky Hwee Kee, Kway, Yeshe Manuel, Kumar, Mukkesh, Sadananthan, Suresh Anand, Khoo, Kaijie, Koh, Danyu, Lim, Rebecca, Kang, Chin Wei, Sin, Kwang Li, Lim, Jun Wei

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Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach von Kumar, Mukkesh, Chen, Li, Tan, Karen, Ang, Li Ting, Ho, Cindy, Wong, Gerard, Soh, Shu E, Tan, Kok Hian, Chan, Jerry Kok Yen, Godfrey, Keith M, Chan, Shiao-yng, Chong, Mary Foong Fong, Connolly, John E, Chong, Yap Seng, Eriksson, Johan G, Feng, Mengling, Karnani, Neerja

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Redirecting immune, lipid, and metabolic drivers of early cardiovascular disease: the RESET cohort study and randomized trial von Dalakoti, Mayank, Foo, Roger, Foo, Roger Sik Yin, Hausenloy, Derek John, Calvin, Chin Woon Loong, Muthiah, Mark Dhinesh, Wang, Dennis, Singaraja, Roshni Rebecca, Car, Josip, Wang, Wenru, Dalakoti, Mayank, Sia, Ching Hui, Baskaran, Lohendran, Leow, Melvin Khee Shing, Riyanto, Yohanes Eko, Macary, Paul A, Hou, Han Wei, Drum, Chester Lee, Richards, Arthur Mark, Tromp, Jasper, Savulescu, Julian, Chew, Nicholas, Ramachandran, Chrishan Julian Alles, Lee, Jason Kai Wei, Torsten, Wustefeld, Wang, Yibin, Yu, Haojie, Zhong, Liang, Ping, Carolyn Lam Su, Chan, Yan Yee Mark, Dan, Yock Young, Yeo, Khung Keong, Yeo, Tee Joo, Hoe, Pierce Chow Kah, Ho, Dean, Lee, Wei Jie Jonathan, Soong, Poh Loong, Ling, Lieng Hsi, Yeo, Tin Mei, Maurer-Stroh, Sebastian, Leong, Tobias, Kumar, Mukkesh, Lye, Jamie, Liu, Boxiang

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Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus von Kumar, Mukkesh, Ang, Li Ting, Png, Hang, Ng, Maisie, Tan, Karen, Loy, See Ling, Tan, Kok Hian, Chan, Jerry Kok Yen, Godfrey, Keith M, Chan, Shiao-Yng, Chong, Yap Seng, Eriksson, Johan G, Feng, Mengling, Karnani, Neerja

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Maternal height, gestational diabetes mellitus and pregnancy complications von Chu, Anne H.Y., Yuan, Wen Lun, Loy, See Ling, Soh, Shu E., Bernard, Jonathan Y., Tint, Mya-Thway, Ho-Lim, Sarah S.T., Goh, Huecin, Ramasamy, Adaikalavan, Kumar, Mukkesh, Goh, Claire, Ang, Li Ting, Shek, Lynette Pei-Chi, Chong, Yap Seng, Tan, Kok Hian, Su, Lin Lin, Biswas, Arijit, Yap, Fabian, Lee, Yung Seng, Chi, Claudia, Godfrey, Keith M., Eriksson, Johan Gunnar, Chan, Shiao-Yng

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Safety, Tolerability, and Pharmacokinetics of β-Cryptoxanthin Supplementation in Healthy Women: A Double-Blind, Randomized, Placebo-Controlled Clinical Trial von Tan, Karen M L, Chee, Jolene, Lim, Kezlyn L M, Ng, Maisie, Gong, Min, Xu, Jia, Tin, Felicia, Natarajan, Padmapriya, Lee, Bee Lan, Ong, Choon Nam, Tint, Mya Thway, Kee, Michelle Z L, Müller-Riemenschneider, Falk, Gluckman, Peter D, Meaney, Michael J, Kumar, Mukkesh, Karnani, Neerja, Eriksson, Johan G, Nandanan, Bindu, Wyss, Adrian, Cameron-Smith, David

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