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Articles 1 - 30 of 442
Full-Text Articles in Medicine and Health Sciences
An Evaluation Of Heart Rate Monitoring With In-Ear Microphones Under Motion, Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo
An Evaluation Of Heart Rate Monitoring With In-Ear Microphones Under Motion, Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo
Research Collection School Of Computing and Information Systems
With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate detection systems. Heart rate is a key physiological marker of cardiovascular health and physical fitness. Continuous and reliable heart rate monitoring with wearable devices has therefore gained increasing attention in recent years. Existing heart rate detection systems in wearables mainly rely on photoplethysmography (PPG) sensors, however, these are notorious for poor performance in the presence of human motion. In this work, leveraging the occlusion effect that enhances low-frequency bone-conducted sounds in the ear canal, we investigate for the first time in-ear audio-based motion-resilient …
Covid-19 And Management Scholarship: Lessons For Conducting Impactful Research, Gerard George, Gokhan Ertug, Jonathan P. Doh, Johanna Mair, Ajnesh Prasad
Covid-19 And Management Scholarship: Lessons For Conducting Impactful Research, Gerard George, Gokhan Ertug, Jonathan P. Doh, Johanna Mair, Ajnesh Prasad
Research Collection Lee Kong Chian School Of Business
The COVID-19 pandemic provided an opportunity for management scholars to address large-scale and complex societal problems and strive for greater practical and policy impact. A brief overview of the most-cited work on COVID-19 reveals that, compared with their counterparts in other disciplines, leading management journals and professional associations lagged in providing a platform for high-impact research on COVID-19. To help management research play a more active role in responding to similar global challenges in the future, we propose an integrative framework that emphasizes a phenomenon’s impact, the conditions that the phenomenon creates at multiple levels, and the responses of actors …
Transiam: Aggregating Multi-Modal Visual Features With Locality For Medical Image Segmentation, Xuejian Li, Shiqiang Ma, Junhai Xu, Jijun Tang, Shengfeng He, Fei Guo
Transiam: Aggregating Multi-Modal Visual Features With Locality For Medical Image Segmentation, Xuejian Li, Shiqiang Ma, Junhai Xu, Jijun Tang, Shengfeng He, Fei Guo
Research Collection School Of Computing and Information Systems
Automatic segmentation of medical images plays an important role in the diagnosis of diseases. On single-modal data, convolutional neural networks have demonstrated satisfactory performance. However, multi-modal data encompasses a greater amount of information rather than single-modal data. Multi-modal data can be effectively used to improve the segmentation accuracy of regions of interest by analyzing both spatial and temporal information. In this study, we propose a dual-path segmentation model for multi-modal medical images, named TranSiam. Taking into account that there is a significant diversity between the different modalities, TranSiam employs two parallel CNNs to extract the features which are specific to …
From Emergency Rooms To Boardrooms, Tow Keang Lim
From Emergency Rooms To Boardrooms, Tow Keang Lim
Asian Management Insights
How doctors think can improve business decision-making.
Navigating Through Chaos, Hoong Chuin Lau
Navigating Through Chaos, Hoong Chuin Lau
Asian Management Insights
How AI and optimisation models can strengthen supply chain resilience.
Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo
Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo
Asian Management Insights
Singapore’s trailblazer AI algorithm for detecting diabetes-related eye diseases. Can you imagine getting the results of your eye disease screening within minutes rather than days? This capability is what EyRIS, a Singapore-based start-up that uses the AI (Artificial Intelligence)-driven Singapore Eye LEsion Analyzer (SELENA+) algorithm to screen for diabetes-related eye diseases, set out to productise and commercialise.
Profiles Of Activity Engagement And Depression Trajectories As Covid-19 Restrictions Were Relaxed, Jonathan L. Chia, Andree Hartanto, William Tov
Profiles Of Activity Engagement And Depression Trajectories As Covid-19 Restrictions Were Relaxed, Jonathan L. Chia, Andree Hartanto, William Tov
Research Collection School of Social Sciences
Given elevated depression rates since the onset of the pandemic and potential downstream implications, this research examined the association between activity engagement and depression among middle-aged and older adults postlockdown. This study aimed to (a) identify activity engagement profiles among middle-aged and older adults, (b) understand factors associated with profile memberships, and (c) compare depression trajectories across profiles as COVID-19 restrictions eased over 16 months in Singapore. This longitudinal study involved 6,568 middle-aged and older adults. Latent growth analysis was first conducted to obtain estimates of depression trajectories for each individual. Latent profile analysis was then conducted to identify different …
A Dual-Angle Exploration Towards Understanding Lapses In Covid-19 Social Responsibility, Sean T. H. Lee, Jerome J. X. Mah, Angela K. Y. Leung
A Dual-Angle Exploration Towards Understanding Lapses In Covid-19 Social Responsibility, Sean T. H. Lee, Jerome J. X. Mah, Angela K. Y. Leung
Research Collection School of Social Sciences
Breaking infection chains requires not just behaviours that allow individuals to stay healthy and uninfected (i.e. health protective behaviours) but also for those who are possibly infected to protect others from their harboured infection risk (i.e. socially responsible behaviours). However, socially responsible behaviours entail costs without clear, immediate benefits to the individual, such that public health-risking lapses occur from time to time. In this important yet understudied area, the current exploratory study sought to identify possible psychological factors that may affect people's likelihood of engaging in socially responsible behaviours. Assuming that self-perceived infection should provide an impetus to engage in …
Public Acceptance Of Using Artificial Intelligence-Assisted Weight Management Apps In High-Income Southeast Asian Adults With Overweight And Obesity: A Cross-Sectional Study, Han Shi Jocelyn Chew, Palakorn Achananuparp, Palakorn Achananuparp, Nicholas W. S. Chew, Yip Han Chin, Yujia Gao, Bok Yan Jimmy So, Asim Shabbir, Ee-Peng Lim, Kee Yuan Ngiam
Public Acceptance Of Using Artificial Intelligence-Assisted Weight Management Apps In High-Income Southeast Asian Adults With Overweight And Obesity: A Cross-Sectional Study, Han Shi Jocelyn Chew, Palakorn Achananuparp, Palakorn Achananuparp, Nicholas W. S. Chew, Yip Han Chin, Yujia Gao, Bok Yan Jimmy So, Asim Shabbir, Ee-Peng Lim, Kee Yuan Ngiam
Research Collection School Of Computing and Information Systems
Introduction: With in increase in interest to incorporate artificial intelligence (AI) into weight management programs, we aimed to examine user perceptions of AI-based mobile apps for weight management in adults with overweight and obesity. Methods: 280 participants were recruited between May and November 2022. Participants completed a questionnaire on sociodemographic profiles, Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), and Self-Regulation of Eating Behavior Questionnaire. Structural equation modeling was performed using R. Model fit was tested using maximum-likelihood generalized unweighted least squares. Associations between influencing factors were analyzed using correlation and linear regression. Results: 271 participant responses were …
Impact Of A Covid-19 Related Lockdown On The Experience Of Informal Caregiving In Singapore, Vicky Mengqi Qin, Abhijit Visaria, Rahul Malhotra
Impact Of A Covid-19 Related Lockdown On The Experience Of Informal Caregiving In Singapore, Vicky Mengqi Qin, Abhijit Visaria, Rahul Malhotra
ROSA Journal Articles and Publications
Introduction: Lockdowns, while limiting COVID-19 transmission, can affect provision of care by informal caregivers and their caregiving experience. We assessed, among informal caregivers in Singapore, (a) the perceived impact of a 2-month (April to May 2020) nationwide lockdown on their care provision, (b) correlates of different perceptions of the impact of the lockdown on care provision, and (c) association of different perceptions of the impact with negative and positive experiences of caregiving. Methods: In the August 2020 wave of the Singapore Life Panel (SLP; nationally representative, longitudinal monthly survey of Singapore citizens and permanent residents aged 50-70 years at baseline), …
Remote Multi-Person Heart Rate Monitoring With Smart Speakers: Overcoming Separation Constraint, Ngoc Doan Thu Tran, Dong Ma, Rajesh Krishna Balan
Remote Multi-Person Heart Rate Monitoring With Smart Speakers: Overcoming Separation Constraint, Ngoc Doan Thu Tran, Dong Ma, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
Heart rate is a key vital sign that can be used to understand an individual’s health condition. Recently, remote sensing techniques, especially acoustic-based sensing, have received increasing attention for their ability to non-invasively detect heart rate via commercial mobile devices such as smartphones and smart speakers. However, due to signal interference, existing methods have primarily focused on monitoring a single user and required a large separation between them when monitoring multiple people. These limitations hinder many common use cases such as couples sharing the same bed or two or more people located in close proximity. In this paper, we present …
Combat Covid-19 At National Level Using Risk Stratification With Appropriate Intervention, Xuan Jin, Kar Way Tan
Combat Covid-19 At National Level Using Risk Stratification With Appropriate Intervention, Xuan Jin, Kar Way Tan
Research Collection School Of Computing and Information Systems
In the national battle against COVID-19, harnessing population-level big data is imperative, enabling authorities to devise effective care policies, allocate healthcare resources efficiently, and enact targeted interventions. Singapore adopted the Home Recovery Programme (HRP) in September 2021, diverting low-risk COVID-19 patients to home care to ease hospital burdens amid high vaccination rates and mild symptoms. While a patient's suitability for HRP could be assessed using broad-based criteria, integrating machine learning (ML) model becomes invaluable for identifying high-risk patients prone to severe illness, facilitating early medical assessment. Most prior studies have traditionally depended on clinical and laboratory data, necessitating initial clinic …
Self-Supervised Pseudo Multi-Class Pre-Training For Unsupervised Anomaly Detection And Segmentation In Medical Images, Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Self-Supervised Pseudo Multi-Class Pre-Training For Unsupervised Anomaly Detection And Segmentation In Medical Images, Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Research Collection School Of Computing and Information Systems
Unsupervised anomaly detection (UAD) methods are trained with normal (or healthy) images only, but during testing, they are able to classify normal and abnormal (or disease) images. UAD is an important medical image analysis (MIA) method to be applied in disease screening problems because the training sets available for those problems usually contain only normal images. However, the exclusive reliance on normal images may result in the learning of ineffective low-dimensional image representations that are not sensitive enough to detect and segment unseen abnormal lesions of varying size, appearance, and shape. Pre-training UAD methods with self-supervised learning, based on computer …
Spatial-Temporal Episodic Memory Modeling For Adls: Encoding, Retrieval, And Prediction, Xinjing Song, Di Wang, Chai Quek, Ah-Hwee Tan, Yanjiang Wang
Spatial-Temporal Episodic Memory Modeling For Adls: Encoding, Retrieval, And Prediction, Xinjing Song, Di Wang, Chai Quek, Ah-Hwee Tan, Yanjiang Wang
Research Collection School Of Computing and Information Systems
Activities of daily living (ADLs) relate to people’s daily self-care activities, which reflect their living habits and lifestyle. A prior study presented a neural network model called STADLART for ADL routine learning. In this paper, we propose a cognitive model named Spatial-Temporal Episodic Memory for ADL (STEM-ADL), which extends STADLART to encode event sequences in the form of distributed episodic memory patterns. Specifically, STEM-ADL encodes each ADL and its associated contextual information as an event pattern and encodes all events in a day as an episode pattern. By explicitly encoding the temporal characteristics of events as activity gradient patterns, STEM-ADL …
The Use Of Deception In Dementia-Care Robots: Should Robots Tell "White Lies" To Limit Emotional Distress?, Samuel R. Cox, Grace Cheong, Wei Tsang Ooi
The Use Of Deception In Dementia-Care Robots: Should Robots Tell "White Lies" To Limit Emotional Distress?, Samuel R. Cox, Grace Cheong, Wei Tsang Ooi
ROSA Journal Articles and Publications
With projections of ageing populations and increasing rates of dementia, there is need for professional caregivers. Assistive robots have been proposed as a solution to this, as they can assist people both physically and socially. However, caregivers often need to use acts of deception (such as misdirection or white lies) in order to ensure necessary care is provided while limiting negative impacts on the cared-for such as emotional distress or loss of dignity. We discuss such use of deception, and contextualise their use within robotics.
A Reliable And Secure Mobile Cyber-Physical Digital Microfluidic Biochip For Intelligent Healthcare, Yinan Yao, Decheng Qiu, Huangda Liu, Zhongliao Yang, Ximeng Liu, Yang Yang, Chen Dong
A Reliable And Secure Mobile Cyber-Physical Digital Microfluidic Biochip For Intelligent Healthcare, Yinan Yao, Decheng Qiu, Huangda Liu, Zhongliao Yang, Ximeng Liu, Yang Yang, Chen Dong
Research Collection School Of Computing and Information Systems
Digital microfluidic, as an emerging and potential technology, diversifies the biochemical applications platform, such as protein dilution sewage detection. At present, a vast majority of universal cyberphysical digital microfluidic biochips (DMFBs) transmit data through wires via personal computers and microcontrollers (like Arduino), consequently, susceptible to various security threats and with the popularity of wireless devices, losing competitiveness gradually. On the premise that security be ensured first and foremost, calls for wireless portable, safe, and economical DMFBs are imperative to expand their application fields, engage more users, and cater to the trend of future wireless communication. To this end, a new …
Mermaid: A Dataset And Framework For Multimodal Meme Semantic Understanding, Shaun Toh, Adriel Kuek, Wen Haw Chong, Roy Ka Wei Lee
Mermaid: A Dataset And Framework For Multimodal Meme Semantic Understanding, Shaun Toh, Adriel Kuek, Wen Haw Chong, Roy Ka Wei Lee
Research Collection School Of Computing and Information Systems
Memes are widely used to convey cultural and societal issues and have a significant impact on public opinion. However, little work has been done on understanding and explaining the semantics expressed in multimodal memes. To fill this research gap, we introduce MERMAID, a dataset consisting of 3,633 memes annotated with their entities and relations, and propose a novel MERF pipeline that extracts entities and their relationships in memes. Our framework combines state-of-the-art techniques from natural language processing and computer vision to extract text and image features and infer relationships between entities in memes. We evaluate the proposed framework on a …
Effect Of The Announcement Of Human-To-Human Transmission On Teleconsultation Services In China During Covid-19, Mairehaba Maimaitiming, Jingui Xie, Zhichao Zheng, Yongjian Zhu
Effect Of The Announcement Of Human-To-Human Transmission On Teleconsultation Services In China During Covid-19, Mairehaba Maimaitiming, Jingui Xie, Zhichao Zheng, Yongjian Zhu
Research Collection Lee Kong Chian School Of Business
Objectives: Telemedicine enables patients to communicate with physicians effectively, especially during the coronavirus disease (COVID-19) pandemic. However, few studies have explored the use of online health care platforms for a comprehensive range of specialties during the COVID-19 pandemic. This study aimed to investigate how telemedicine services were affected by the announcement of human-to-human transmission in China. Methods: Telemedicine data from haodf.com in China were collected. A difference-in-differences analysis compared the number of telemedicine use and the number of active online physicians for different specialties in 2020 with the numbers in 2019, before and after the announcement of human-to-human transmission. Results: …
The Psychological Science Accelerator's Covid-19 Rapid-Response Dataset, Erin M. Buchanan, Andree Hartanto
The Psychological Science Accelerator's Covid-19 Rapid-Response Dataset, Erin M. Buchanan, Andree Hartanto
Research Collection School of Social Sciences
In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with …
Greater Traditionalism Predicts Covid-19 Precautionary Behaviors Across 27 Societies, Theodore Samore, D. M. T. Fessler, A. M. Sparks, C. Holbrook, L. Aaroe, Norman P. Li, Kai Lin Lynn Tan, Et Al
Greater Traditionalism Predicts Covid-19 Precautionary Behaviors Across 27 Societies, Theodore Samore, D. M. T. Fessler, A. M. Sparks, C. Holbrook, L. Aaroe, Norman P. Li, Kai Lin Lynn Tan, Et Al
Research Collection School of Social Sciences
People vary both in their embrace of their society’s traditions, and in their perception of hazards as salient and necessitating a response. Over evolutionary time, traditions have offered avenues for addressing hazards, plausibly resulting in linkages between orientations toward tradition and orientations toward danger. Emerging research documents connections between traditionalism and threat responsivity, including pathogen-avoidance motivations. Additionally, because hazard-mitigating behaviors can conflict with competing priorities, associations between traditionalism and pathogen avoidance may hinge on contextually contingent tradeoffs. The COVID-19 pandemic provides a real-world test of the posited relationship between traditionalism and hazard avoidance. Across 27 societies (N = 7844), we …
Delivering Healthcare To The Underserved, Edward Booty
Delivering Healthcare To The Underserved, Edward Booty
Asian Management Insights
Non-profits, governments, and businesses need to come together and use a data-driven approach to improve local basic healthcare access.
Public Service Motivation And Job Satisfaction Amid Covid-19: Exploring The Effects Of Work Environment Changes, Seulki Lee, Chongmin Na
Public Service Motivation And Job Satisfaction Amid Covid-19: Exploring The Effects Of Work Environment Changes, Seulki Lee, Chongmin Na
Research Collection School of Social Sciences
The COVID-19 pandemic has brought critical changes to job demands and resources, which in turn affect employee motivation and outcomes. This study explores how COVID-19–induced work intensity and COVID-19–related organizational support influence public service motivation (PSM) and job satisfaction. Using survey data from a nationally representative sample of 1,430 South Korean central government employees collected during the pandemic (May–June 2020), we find that COVID-19–induced work intensity is positively associated with PSM, which in turn has a positive association with job satisfaction. We also find that COVID-19–related organizational support has both direct and indirect associations with job satisfaction through PSM. These …
Understanding The Effect Of Counterfactual Explanations On Trust And Reliance On Ai For Human-Ai Collaborative Clinical Decision Making, Min Hun Lee, Chong Jun Chew
Understanding The Effect Of Counterfactual Explanations On Trust And Reliance On Ai For Human-Ai Collaborative Clinical Decision Making, Min Hun Lee, Chong Jun Chew
Research Collection School Of Computing and Information Systems
Artificial intelligence (AI) is increasingly being considered to assist human decision-making in high-stake domains (e.g. health). However, researchers have discussed an issue that humans can over-rely on wrong suggestions of the AI model instead of achieving human AI complementary performance. In this work, we utilized salient feature explanations along with what-if, counterfactual explanations to make humans review AI suggestions more analytically to reduce overreliance on AI and explored the effect of these explanations on trust and reliance on AI during clinical decision-making. We conducted an experiment with seven therapists and ten laypersons on the task of assessing post-stroke survivors' quality …
Acceptance Of Communication Technology, Emotional Support And Subjective Well-Being For Chinese Older Adults Living Alone During Covid-19: A Moderated Mediation Model, Ze Ling Nai, Woan Shin Tan, William Tov
Acceptance Of Communication Technology, Emotional Support And Subjective Well-Being For Chinese Older Adults Living Alone During Covid-19: A Moderated Mediation Model, Ze Ling Nai, Woan Shin Tan, William Tov
Research Collection School of Social Sciences
Stringent social distancing measures implemented to control the spread of COVID-19 affected older adults living alone by limiting their social interaction beyond their households. During these restrictions, interactions beyond the household could be facilitated by communication technology (CT) such as voice calls, instant messages. Our study provides evidence on how CT acceptance could influence the emotional support and in turn, subjective well-being (SWB) of older adults living alone. We did a cross-sectional survey with 293 community-dwelling Chinese older adults. Participants were surveyed from September to November 2020 and had completed measures on CT acceptance (competency), emotional support, and SWB. PROCESS …
The Role Of Cosmopolitan Orientation In Covid-19-Related Attitudes: Perceived Threats And Opportunities, Vaccination Willingness, And Support For Collective Containment Efforts, Angela K. Y. Leung, Brandon Koh, Verity Yu Qing Lua, James H. Liu, Sarah Y. Choi, I-Ching Lee, Michelle Lee, Mei-Hua Lin, Darrin Hodgetts, Sylvia X. Chen
The Role Of Cosmopolitan Orientation In Covid-19-Related Attitudes: Perceived Threats And Opportunities, Vaccination Willingness, And Support For Collective Containment Efforts, Angela K. Y. Leung, Brandon Koh, Verity Yu Qing Lua, James H. Liu, Sarah Y. Choi, I-Ching Lee, Michelle Lee, Mei-Hua Lin, Darrin Hodgetts, Sylvia X. Chen
Research Collection School of Social Sciences
Cosmopolitan individuals identify themselves as "citizens of the world." In the present research, we tested the idea that endorsing a cosmopolitan orientation (CO) is adaptive in the COVID-19 crisis. Cosmopolitan individuals more readily transcend national parochialism, show greater concern for all humanity, and prioritize collective interests. In a two-wave multi-region investigation with six samples from China, Hong Kong, Taiwan, Malaysia, Singapore, and the U.S., we first established longitudinal and cross-cultural measurement invariance of the CO scale. Next, we found that people with a higher CO tended to perceive over time a greater threat posed by COVID-19, take more safety measures, …
The Importance Of The First Generic Substitution: Evidence From Sweden, Aljoscha Janssen, David Granlund
The Importance Of The First Generic Substitution: Evidence From Sweden, Aljoscha Janssen, David Granlund
Research Collection School Of Economics
We analyze changes in the willingness to substitute from prescribed pharmaceuticals to more affordable generic equivalents in response to the first experience with a substitution. Using Swedish individual-level data of prescribed and dispensed pharmaceuticals, we em-ploy a dynamic event study and an instrumental variable approach to show that an initial substitution reduces the probability of opposing subsequent substitutions by 39 percent-age points. We recommend that policy-makers target patients with a history of opposed substitution and offer additional discounts to promote substitution as long-term savings outweigh one-time costs.
Not A Box Of Nuts And Bolts: Distribution Channels For Specialty Drugs?, Liang Xu, Vidya Mani, Hui Zhao
Not A Box Of Nuts And Bolts: Distribution Channels For Specialty Drugs?, Liang Xu, Vidya Mani, Hui Zhao
Research Collection Lee Kong Chian School Of Business
One of the most important trends in the pharmaceutical industry is the rapid growth of specialty drugs. Specialty drugs, mostly bio based, tend to be high risk, high priced, and more regulated than traditional drugs, resulting in unprecedented challenges in distribution. Such challenges lead to the emergence of specialty distributors (SDs), which, compared with traditional wholesalers (WSs), represent a more controlled channel and carry a smaller variety of drugs. Due to the risky nature of specialty drugs, manufacturers must consider the trade-off between access and control in determining whether to use SDs (partially or exclusively). Using a unique dataset assembled …
Singapore's Hospital To Home Program: Raising Patient Engagement Through Ai, John Abisheganaden, Kheng Hock Lee, Lian Leng Low, Eugene Shum, Han Leong Goh, Christine Gian Lee Ang, Andy Wee An Ta, Steven M. Miller
Singapore's Hospital To Home Program: Raising Patient Engagement Through Ai, John Abisheganaden, Kheng Hock Lee, Lian Leng Low, Eugene Shum, Han Leong Goh, Christine Gian Lee Ang, Andy Wee An Ta, Steven M. Miller
Research Collection School Of Computing and Information Systems
Because of their complex care needs, many elderly patients are discharged from hospitals only to be readmitted for multiple stays within the following twelve months. John Abisheganaden and his fellow authors describe Singapore’s Hospital to Home program, a community care initiative fueled by artificial intelligence.
Care Labour Shortage Needs A Cure, Not More Band-Aids, Yasmin Y. Ortiga
Care Labour Shortage Needs A Cure, Not More Band-Aids, Yasmin Y. Ortiga
Asian Management Insights
Retaining care workers will become more difficult for Asia’s ageing economies.
Future-Proofing Healthcare Systems, How Choon How
Future-Proofing Healthcare Systems, How Choon How
Asian Management Insights
This includes tackling climate change challenges too.