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AI-Driven Personal Care Engine For A Better Future

Wipro and Centre for Brain Research Partner to Launch AI-Driven Personal Care Engine for Health Management

Wipro Limited announced on Tuesday a groundbreaking collaboration with the Centre for Brain Research, an autonomous, non-profit research organization hosted at the prestigious Indian Institute of Science.

This partnership aims to harness the power of artificial intelligence, machine learning, and big data analytics to pioneer new health behaviour innovations.

The collaboration’s primary goal is to develop advanced technologies that provide precision support for preventing and managing long-term health disorders, marking a significant step forward in digital health solutions.

The Collab

Wipro Limited has partnered strategically with the Centre for Brain Research, a renowned non-profit research organization based at the Indian Institute of Science.

This collaboration seeks to leverage Wipro’s technological prowess and CBR’s extensive research expertise to create innovative health behaviour solutions.

The partnership is designed to focus on using artificial intelligence, machine learning, and big data analytics to develop technologies aimed at preventing and managing long-term health disorders.

Wipro’s Research and Development team, specifically from Lab45, will spearhead the creation of a personal care engine.

This AI-driven system will integrate an individual’s health history, desired health outcomes, and behavioural responses to promote healthy ageing, encourage positive lifestyle changes, and enhance psycho-social well-being.

Personal Care Engine

By tailoring interactions to individual needs, the personal care engine aims to reduce and manage the risks associated with cardiovascular diseases and neurodegenerative disorders, ultimately optimizing users’ long-term health and well-being.

The collaborative efforts will also involve testing the personal care engine through a digital app-based trial at IISc.

This trial aims to generate substantial evidence regarding the engine’s effectiveness in real-world contexts, particularly those critical to long-term health outcomes.

Focus on AI-Driven Innovations

The collaboration between Wipro and the Centre for Brain Research centres on utilizing advanced technologies such as artificial intelligence, machine learning, and big data analytics to drive health behaviour innovations.

These cutting-edge tools will be pivotal in developing new, precise support systems for preventing and managing long-term health disorders.

AI and ML will be integral in creating a personal care engine capable of analyzing vast amounts of data to understand and predict individual health patterns.

The AI can provide personalized recommendations and interventions by incorporating an individual’s health history, desired health outcomes, and behavioural responses.

This level of customization aims to promote healthy ageing, foster positive lifestyle changes, and improve psycho-social well-being.

Big data analytics will enable the system to process and interpret complex datasets, identifying trends and correlations that can inform more effective health strategies.

This technology will provide a more comprehensive understanding of how different factors influence health outcomes, leading to more accurate and targeted interventions.

The personal care engine will specifically focus on reducing and managing the risks associated with cardiovascular diseases and neurodegenerative disorders.

By personalizing its interactions with users, the engine will help optimize long-term health and well-being, tailoring its approach to the unique needs of each individual.

Personal Care Engine

This advanced AI-driven system, designed by Wipro’s Research and Development team at Lab45, aims to provide personalized health management by integrating an individual’s health history, desired health outcomes, and behavioral responses.

The goal is to create a tool that promotes healthy aging, positive lifestyle changes, and psycho-social wellbeing.

The personal care engine will utilize cutting-edge technologies, including artificial intelligence (AI) and machine learning, to analyze vast amounts of health data.

By understanding individual health patterns and predicting future health needs, the AI can offer tailored recommendations and interventions.

This personalized approach is designed to optimize long-term health and wellbeing by addressing specific needs and goals of each user.

One of the primary focuses of the personal care engine is to reduce and manage the risks associated with cardiovascular diseases and neurodegenerative disorders.

By using AI to analyze health data, the system can identify risk factors and suggest preventive measures, helping users to mitigate the impact of these conditions.

Personal Care Engine

This proactive approach aims to improve overall health outcomes and enhance quality of life.

To ensure the effectiveness of the personal care engine, Wipro will conduct a digital app-based trial in collaboration with CBR at the Indian Institute of Science.

This trial will generate valuable evidence on how the engine performs in real-world settings, particularly in contexts relevant to long-term health outcomes.

The insights gained from this trial will be used to refine and improve the system, ensuring it delivers the best possible results for users.

Targeted Health Outcomes

Central to its purpose is the focus on reducing and managing the risks associated with cardiovascular diseases and neurodegenerative disorders.

These conditions are chosen due to their significant impact on long-term health and their strong correlation with overall well-being.

Cardiovascular diseases, such as heart disease and stroke, are among the leading causes of morbidity and mortality worldwide.

By leveraging artificial intelligence and machine learning, the personal care engine can analyze a user’s health data to identify risk factors and suggest personalized interventions.

This proactive approach aims to help users make informed lifestyle changes to prevent the onset of cardiovascular conditions or manage existing ones more effectively.

Neurodegenerative disorders, including Alzheimer’s disease and Parkinson’s disease, pose substantial challenges due to their progressive nature and the limited treatment options currently available.

The personal care engine addresses these challenges by offering tailored support to mitigate the risks associated with these disorders.

By understanding individual health patterns and predicting potential issues, AI can provide users with actionable insights to maintain cognitive health and delay the progression of neurodegenerative diseases.

Beyond these specific conditions, the personal care engine promotes overall psycho-social well-being.

The AI-driven system can offer comprehensive support that enhances mental health and social functioning by considering various behavioural responses and desired health outcomes.

This holistic approach ensures that users receive well-rounded care that addresses physical and mental health needs.

The ultimate goal of targeting these health outcomes is to optimize long-term health and well-being for users.

The personal care engine empowers individuals to take control of their health by providing personalized, data-driven recommendations.

Testing and Evidence Generation

To ensure the effectiveness and reliability of the personal care engine, they will conduct a comprehensive digital app-based trial.

This trial is a critical component of the development process, designed to generate robust evidence regarding the engine’s real-world performance and its impact on long-term health outcomes.

The digital app-based trial will involve diverse participants, allowing the personal care engine to be tested across various demographics and health profiles.

By integrating users’ health histories, desired health states, and behavioural responses, the trial aims to validate the engine’s ability to provide personalized and practical health recommendations.

Throughout the trial, data will be collected on a wide range of health metrics, including cardiovascular health indicators, cognitive function, and overall well-being.

This data will be analyzed to assess the engine’s accuracy in predicting health risks and its effectiveness in promoting positive health behaviours.

The trial will also measure user engagement and satisfaction, ensuring that the personal care engine is user-friendly and accessible.

Personal Care Engine

The evidence generated from this trial will be crucial in refining the personal care engine. Insights gained will help identify any areas for improvement and ensure that the engine’s algorithms are optimized for accuracy and effectiveness.

The trial will provide valuable information on how the engine performs in different contexts, allowing for adjustments that cater to various health needs and conditions.

This rigorous testing process underscores Wipro’s commitment to developing a reliable and impactful health management tool.

Statements from Key Figures

Subha Tatavarti, Chief Technology Officer at Wipro Limited, emphasized the company’s dedication to transforming healthcare through technological advancements.

She stated, “Wipro is committed to transforming the healthcare landscape through technological innovation, and we are delighted to partner with the CBR and IISc on this journey.

Our personal care engine enables wide-ranging applications and benefits for health management. It can potentially mitigate lifestyle-related conditions and enhance cognitive and psychosocial functioning.”

Dr Ajay Chander, Head of Research and Development at Wipro Limited, highlighted the innovative nature of the collaboration.

He said, “Our collaboration with CBR will pioneer solutions at the intersection of computing and cognitive sciences, bringing scalable personalized care support for some of the most chronic health challenges globally.

Cardiovascular conditions are a particular focus because of their strong association with long-term cognitive issues and the potential for broad health and wellbeing benefits at lower costs.”

Professor KVS Hari, Director of the Centre for Brain Research, underscored the importance of integrating scientific research with practical applications.

“Working with Wipro allows us to amplify our scientific expertise through large-scale digital applications. This partnership will accelerate the path from research to real-world cognitive and overall health solutions.”

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