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Publication date Communities Collections Article title Author(s) Journal/Conference
17 Sep 2024 SERC Institute for Infocomm Research A drug mix and dose decision algorithm for individualized type 2 diabetes management (Pending publish) Mila Nambiar, Yong Mong Bee, Yu En Chan, Ivan Ho Mien, Feri Guretno, David Carmody, Phong Ching Lee, Sing Yi Chia, Nur Nasyitah Mohamed Salim, Pavitra Krishnaswamy npj Digital Medicine
1 Jul 2024 SERC Institute for Infocomm Research Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation (Pending publish) Zhengyuan Liu, Siti Salleh, Pavitra Krishnaswamy, Nancy Chen Clinical NLP @NAACL 2024
5 Mar 2024 SERC Institute for Infocomm Research An Artificial Intelligence Drug Mix and Dose Advisor Recommends Individualised Treatments for Type 2 Diabetes Yong Mong Bee, Mila Nambiar, Yu En Chan, Ivan Ho Mien, Feri Guretno, David Carmody, Phong Ching Lee, Sing Yi Chia, Nur Nasyitah Mohamed Salim, Pavitra Krishnaswamy The Official Journal of ATTD Advanced Techologies & Treatments for Diabetes CONFERENCE 6–9 MARCH 2024 I FLORENCE & ONLINE
10 Dec 2023 SERC Institute for Infocomm Research Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations Zhengyuan Liu, Siti Umairah Md Salleh, Hong Choon Oh, Pavitra Krishnaswamy, Nancy Chen Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
23 Nov 2023 Others Diagnostics Development Hub A Performance Monitoring and Continual Learning Framework to Improve Reliability of Prediction Models based on Electronic Health Records CAO ZHEN, Feri Guretno, JEANETTE POH, Guo Yang, Milashini Nambiar, CHAN YU EN, WATT PEI YI, GOPINATHAN ARJUNAN, BEE YONG MONG, Pavitra Krishnaswamy, Savitha Ramasamy AI Health Summit conference (2023)
23 Nov 2023 SERC Institute for Infocomm Research A Semi-Supervised Active Learning Guided Platform for Efficient Medical Image Annotation Shafa Balaram, Ashish Jith Sreejith Kumar, Yang Yu, Feri Guretno, Balagopal Unnikrishnan, Navya Sindhu Vanjavaka, Nurul Hafidzah Rahim, Ivan Ho Mien, Ashraf A. Kassim, Pavitra Krishnaswamy AI Health Summit conference (2023)
7 Oct 2023 SERC Institute for Infocomm Research A Multitask Framework for Label Refinement and Lesion Segmentation in Clinical Brain Imaging Yang Yu, Jiahao Wang, Ashish Jith Sreejith Kumar, Bryan Tan, Navya Vanjavaka, Nurul Hafidzah Rahim, Alistair Koh, Shaheen Low, Yih Yian Sitoh, Hanry Yu, Pavitra Krishnaswamy, Ivan Ho Mien Medical Image Learning with Limited and Noisy Data
5 Aug 2023 SERC Institute for Infocomm Research Integrated Platform for Resource-efficient Medical Image Annotation Yang Yu, Ashish Jith Sreejith Kumar, Feri Guretno, Shafa Balaram, Balagopal Unnikrishnan, Pavitra Krishnaswamy, Ivan Ho Mien International Conference on AI in Medicine (iAIM)
4 Aug 2023 SERC Institute for Infocomm Research Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
19 Jan 2023 BMRC Bioinformatics Institute The Singapore National Precision Medicine Strategy Eleanor Wong, Nicolas Bertin, Maxime Hebrard, Roberto Tirado-Magallanes, Claire Bellis, Weng Khong Lim, Chee Yong Chua, Philomena Mei Lin Tong, Raymond Chua, Kenneth Mak, Tit Meng Lim, Wei Yang Cheong, Kwee Eng Thien, Khean Teik Goh, Jin-Fang Chai, Jimmy Lee, Joseph Jao-Yiu Sung, Tien Yin Wong, Calvin Woon Loong Chin, Peter D. Gluckman, Liuh Ling Goh, Kenneth Hon Kim Ban, Tin Wee Tan, , Rob M. van Dam, Yik Ying Teo, Marie Loh, Paul Eillot, Eng Sing Lee, Joanne Ngeow, Elio Riboli, Rinkoo Dalan, Irfahan Kassam, Lakshmi Narayanan Lakshmanan, Tock Han Lim, Hong Kiat Ng, Theresia Mina, Darwin Tay, Charumathi Sabanayagam, Yih Chung Tham, Tyler Rim, Tin Aung, Miao Ling Chee, Hengtong Li, Miao Li Chee, Khung Keong Yeo, Stuart Alexander Cook, Chee Jian Pua, Chengxi Yang, Yap Seng Chong, Johan Gunnar Eriksson, Kok Hian Tan, Fabian Yap, Chia Wei Lim, Pi Kuang Tsai, Wen Jie Chew, Wey Ching Sim, Li-xian Grace Toh, Clarabelle Bitong Lin, Yee Yen Sia, Tat Hung Koh, Wee Yang Meah, Joanna Hui Juan Tan, Justin Jeyakani, Jack Ow, Shimin Ang, Ashar J. Malik, Dimitar Kenanov, Xueling Sim, Ching-Yu Cheng, Sonia Davila, Neerja Karnani, Khai Pang Leong, Jianjun Liu, Shyam Prabhakar, Sebastian Maurer-Stroh, Chandra Shekhar Verma, Pavitra Krishnaswamy, Rick Siow Mong Goh, Irenaeus Chia, Clarissa Ho, Doreen Low, Suchin Virabhak, Jacklyn Yong, Weiling Zheng, Shih Wee Seow, Yee Kwang Seck, Mingshi Koh, John C. Chambers, E. Shyong Tai, Patrick Tan Nature Genetics