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Computational modeling to improve implant alignment during knee replacement surgeries

A Texas A&M University doctoral student has collaborated with an innovative surgical navigation and robotics company on motion capture research that can potentially improve implant alignment during knee replacement surgeries.
United States Lily Ramsey Aaron Henry Department Of Multidisciplinary Engineering American Society Of Mechanical Engineering University Of Minnesota

Combining generative AI and quantum computing to accelerate drug discovery

Insilico Medicine, a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it combined two rapidly developing technologies, quantum computing and generative AI, to explore lead candidate discovery in drug development and successfully demonstrated the potential advantages of quantum generative adversarial networks in generative chemistry.
Lily Ramsey Jimmy Yen Chu Lin Alex Zhavoronkov Hon Hai Foxconn Research Institute Acceleration Consortium University Of Toronto Acceleration Consortium

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"Decision Tree Evaluation on Sensitive Datasets for Secure E-Healthcare" by Mingwu Zhang, Yu Chen et al.

Collecting and analyzing patients' e-healthcare data in Medical Internet-of-Things (MIOT), e-Healthcare providers can offer reliable medical services that will achieve better treatment for patients. For example, the diagnosis of disease and predictions of health offer an alternative and helpful evaluation of the risk of diseases, thereby helping patients lead a healthier life. However, e-Healthcare providers cannot cope with the huge volumes of data and respond to this online service such t...
Medical Internet Of Things Privacy Preserving Decision Tree Evaluation Computational Modeling Decision Trees Ecision Trees Evaluation Ge Healthcare
Source: uow.edu.au

"Resilience Assessment of an Urban Rail Transit Network Under Short-Ter" by Jinqu Chen, Jie Liu et al.

Operational disturbances within 30 min, namely, short-term operational disturbances (STODs), occur frequently during the daily operation of an urban rail transit (URT) system. Therefore, there is an urgent need to assess a networkโ€™s ability to respond to STODs to improve its operational level. The resilience of a URT network jointly considering turn-back operations, the occurrence time of STODs, and passenger travel experience is addressed. By considering passenger travel alternatives under ST...
Computational Modeling Mathematical Models Network Topology Hort Term Operational Disturbances Ime Dependent Performance Indicator Urn Back Operations
Source: uow.edu.au

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