Thier

"The obesity epidemic 🌎📈 is distinct from once-in-a-lifetime health crises like Covid - 19 and the Spanish Flu. It's expected to linger 🕰️ due to modern Western lifestyles 🍔🏙️. The number of overweight and obese adult men and women is set to rise 📊 significantly across the UK 🇬🇧, USA 🇺🇸, and Europe 🇪🇺. The World Health Organization (WHO) 🌐🏥 suggests prevention as a key strategy 🛡️ to tackle this contemporary public health challenge, impacting businesses and their employees 🏢👥. To dive deeper into the effects of obesity on enterprises, check out the following video 🎥👀." https://lnkd.in/dkJnMApH    #Thier #Innovation #Health #Management #Humanresources #Technology #Future #MachineLearning #AI #FemTech #MaleTech

Unlocking the Secrets of Investment Banking Talent Wellness Investment banking talent wellness refers to the overall well-being and health of professionals working in the investment banking industry. It encompasses physical, mental, and financial well-being and is crucial for ensuring a productive and sustainable workforce. Read the rest of the article here: https://shorturl.at/Q96C7 Visit our website https://buff.ly/3RB8X3L 👈 😄 Watch The Impact of Preventable Disease on Enterprises. https://buff.ly/43DgkdQ 👈 😄 Pre-register here: https://buff.ly/3NzDfAZ 👈 😄 Follow Us on LinkedIn https://buff.ly/48mdZah 👈 😄 #Thier #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #AI #HealthInsurance

Thier was delighted to participate in a networking reception focused on UK-USA collaboration in enabling and emerging technologies. Dorothy McAuliffe, US Special Representative for Global Partnerships at the State Department, lead a delegation of tech companies and investors at a visit to the White City Innovation District. On Wednesday 22 May2024. The delegation includes companies working in AI, like @Firex.ai, Quantum and Engineering Biology as well as State Department officials working on global R&D partnerships. If you are interested in partnering with the US, Office of Global Partnerships, select this link: https://buff.ly/4dUcZ0c 👈. 😀 🤖 About Thier Thier is the AI-enabled mobile platform for the prevention of obesity and type II diabetes 🏥. Our goal is to offer Heads of Wellness, Heads of HR, and Heads of Occupational Health at incumbent mid-tier and large organisations that offer private healthcare to their employees. Operating in the following industries; Manufacturing 🏭 Healthcare 🏥 Technology 💻 Financial Services 💰 Energy ⚡ Transportation 🚛 Tools to identify, track, monitor, and prevent the emergence of lifestyle diseases in employee communities they serve 🛡️. Through leveraging machine learning algorithms, community support, and personalised interventions from healthcare practitioners focused on disease prevention, all data will be securely stored on the blockchain. 🎥 Learn more about Thier here: 🔗 Watch Video: https://buff.ly/3X9nk2L. 👈 🤝 If you are an angel investor, super angel investor or micro venture capitalist, and invest in early stage digital health start-ups get in touch here: 🔗 Investor Form: https://buff.ly/3WNmbxl 👈 BTW we have SEIS and EIS Assurance 👈 😀 #Thier #LondonVentureCapitalSummit #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #AI #HealthInsurance

🌟 Invitation to the Deep Tech Networking Event. The UK- USA Science and Tech Reception 🌟 Kofo Are, was thrilled to invited to represent Thier and attend the UK – USA Science and Tech Reception a collaboration in enabling and emerging technologies. A delegation of tech companies and investors was led by Dorothy McAuliffe, US Special Representative for Global Partnerships at the State Department. Who visited the White City Innovation District on Wednesday the 22nd of May. With companies working in AI, such as @FireX.ai, Artificial Intelligence to revolutionise firefighting. And other companies in Quantum technology and synthetic biology. I was fortunate to speak to man with red hair from Firex.ai, I can’t find you on the company LinkedIn. And I also spoke to Greg Byrd a professor, and associate department head of Electrical and Computer Engineering at the NC State University Raleigh, NC.   Companies that would, like to partner with the USA State Department, Global Partnerships do select this link: https://shorturl.at/gZU0A 👈 😀 🤖 About Thier Thier is the AI-enabled mobile platform for the prevention of obesity and type II diabetes 🏥. Our goal is to offer Heads of Wellness, Heads of HR, and Heads of Occupational Health at incumbent mid-tier and large organisations that offer private healthcare to their employees. Operating in the following industries; Manufacturing 🏭 Healthcare 🏥 Technology 💻 Financial Services 💰 Energy ⚡ Transportation 🚛 Tools to identify, track, monitor, and prevent the emergence of lifestyle diseases in employee communities they serve 🛡️. Through leveraging machine learning algorithms, community support, and personalised interventions from healthcare practitioners focused on disease prevention, all data will be securely stored on the blockchain. 🎥 Learn more about Thier here: 🔗 Watch Video: https://buff.ly/3X9nk2L. 👈 😀 🤝 If you are an angel investor, super angel investor or micro venture capitalist, and invest in early stage digital health start-ups get in touch here: 🔗 Investor Form: https://buff.ly/3WNmbxl 👈 😀 BTW we have SEIS and EIS Assurance 👈 😀 #Thier #Imperialcollege #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #AI #HealthInsurance #DeepTech

🌟 Invitation to the Deep Tech Networking Event . UK -USA Science and Tech Reception🌟 Kofo Are, was thrilled to invited to represent Thier and attend the UK – USA Science and Tech Reception a collaboration in enabling and emerging technologies. A delegation of tech companies and investors was led by Dorothy McAuliffe, US Special Representative for Global Partnerships at the State Department. Who visited the White City Innovation District on Wednesday the 22nd of May. With companies working in AI, such as Firex.ai, Artificial Intelligence to revolutionise firefighting. And other companies in Quantum technology and synthetic biology. I was fortunate to speak to man with red hair from Firex.ai, I can’t find you on the company LinkedIn. And I also spoke to Greg Byrd a professor, and associate department head of Electrical and Computer Engineering at the NC State University Raleigh, NC. Companies that would, like to partner with the USA State Department, Global Partnerships select this link: https://shorturl.at/gZU0A 👈 😀 🤖 About Thier Thier is the AI-enabled mobile platform for the prevention of obesity and type II diabetes 🏥. Our goal is to offer Heads of Wellness, Heads of HR, and Heads of Occupational Health at incumbent mid-tier and large organisations that offer private healthcare to their employees. Operating in the following industries; Manufacturing 🏭 Healthcare 🏥 Technology 💻 Financial Services 💰 Energy ⚡ Transportation 🚛 Tools to identify, track, monitor, and prevent the emergence of lifestyle diseases in employee communities they serve 🛡️. Through leveraging machine learning algorithms, community support, and personalised interventions from healthcare practitioners focused on disease prevention, all data will be securely stored on the blockchain. 🎥 Learn more about Thier here: 🔗 Watch Video: https://buff.ly/3X9nk2L. 👈 😀 🤝 If you are an angel investor, super angel investor or micro venture capitalist, and invest in early stage digital health start-ups get in touch here: 🔗 Investor Form: https://buff.ly/3WNmbxl 👈 😀 BTW we have SEIS and EIS Assurance 👈 😀 #Thier #Imperialcollege #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #AI #HealthInsurance #DeepTech

🌟 Invitation to the Deep Tech Networking Event . UK -USA Science and Tech Reception🌟 Kofo Are, was thrilled to invited to represent Thier and attend the UK – USA Science and Tech Reception a collaboration in enabling and emerging technologies. A delegation of tech companies and investors was led by Dorothy McAuliffe, US Special Representative for Global Partnerships at the State Department. Who visited the White City Innovation District on Wednesday the 22nd of May. With companies working in AI, such as @FireX.ai, Artificial Intelligence to revolutionise firefighting. And other companies in Quantum technology and synthetic biology. I was fortunate to speak to man with red hair from Firex.ai, I can’t find you on the company LinkedIn. And I also spoke to Greg Byrd a professor, and associate department head of Electrical and Computer Engineering at the NC State University Raleigh, NC.   Companies that may like to partner with the USA State Department, Global Partnerships select this link: https://shorturl.at/gZU0A 👈 😀 🤖 About Thier Thier is the AI-enabled mobile platform for the prevention of obesity and type II diabetes 🏥. Our goal is to offer Heads of Wellness, Heads of HR, and Heads of Occupational Health at incumbent mid-tier and large organisations that offer private healthcare to their employees. Operating in the following industries; Manufacturing 🏭 Healthcare 🏥 Technology 💻 Financial Services 💰 Energy ⚡ Transportation 🚛 Tools to identify, track, monitor, and prevent the emergence of lifestyle diseases in employee communities they serve 🛡️. Through leveraging machine learning algorithms, community support, and personalised interventions from healthcare practitioners focused on disease prevention, all data will be securely stored on the blockchain. 🎥 Learn more about Thier here: 🔗 Watch Video: https://buff.ly/3X9nk2L. 👈 😀 🤝 If you are an angel investor, super angel investor or micro venture capitalist, and invest in early stage digital health start-ups get in touch here: 🔗 Investor Form: https://buff.ly/3WNmbxl 👈 😀 BTW we have SEIS and EIS Assurance 👈 😀 #Thier #Imperialcollege #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #AI #HealthInsurance #DeepTech

The AI Summit London - June 12th - 13th 2024. https://shorturl.at/s7QLY 👈 😀 Thier, will be Attending "The AI Summit London" on the 12th-13th of June 2024 Attendees including Amazon, Citi, Microsoft, PwC, Reckitt, Shell, Monzo Bank, Mars and BBC News at the AI Summit London! Headliners Stage Chairs: Katie Prescott, Technology Business Editor, The Times and Axel Threlfall, Editor-at-Large, Thomson Reuters! 🤖 About Thier Thier is the AI-enabled mobile platform for the prevention of obesity and type II diabetes 🏥. Our goal is to offer Heads of Wellness, Heads of HR, and Heads of Occupational Health at incumbent mid-tier and large organisations that offer private healthcare to their employees. Operating in the following industries; Manufacturing 🏭 Healthcare 🏥 Technology 💻 Financial Services 💰 Energy ⚡ Transportation 🚛 Tools to identify, track, monitor, and prevent the emergence of lifestyle diseases in employee communities they serve 🛡️. Through leveraging machine learning algorithms, community support, and personalised interventions from healthcare practitioners focused on disease prevention, all data will be securely stored on the blockchain. 🎥 Learn more about Thier here: 🔗 Watch Video: https://buff.ly/3X9nk2L. 👈 🤝 If you are an angel investor, super angel investor or micro venture capitalist, and invest in early stage digital health start-ups get in touch here: 🔗 Investor Form: https://buff.ly/3WNmbxl 👈 BTW we have SEIS and EIS Assurance 👈 😀 #Thier #CorporateWellness #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #AI #HealthInsurance #MachineLearning #AISummit

Predicting Lifestyle Diseases. https://shorturl.at/XTpu7. 👈 😀 Machine learning (ML) has emerged as a powerful tool for predicting the onset of lifestyle diseases, which are often linked to unhealthy habits and behaviours. These diseases include diabetes, heart disease, chronic kidney disease, and others. By leveraging large datasets and advanced algorithms, ML models can provide early warnings and personalised risk assessments, potentially improving patient outcomes and reducing healthcare costs. Key Insights Support Vector Machine (SVM) for Lifestyle Disease Prediction SVM models are effective in predicting lifestyle diseases by analysing an individual's lifestyle data, offering a low-cost alternative to genetic testing (Khan et al., 2019). 📊💻 Use of Periodical Health Checkup Data Regular health checkup data can be used to predict the onset of lifestyle-related diseases within a year, with methods like under sampling and bagging improving precision and recall (Wang et al., 2018). 🩺📅 Ensemble Learning and Feature Selection Combining genetic algorithm-based recursive feature elimination with AdaBoost enhances the prediction of multiple lifestyle diseases, demonstrating higher efficiency compared to traditional methods (Zhang et al., 2017). 🌟🔍 Comparative Analysis of ML Techniques for Diabetes Prediction Random Forest (RF) outperforms other models like SVM, Logistic Regression (LR), and K-Nearest Neighbor (KNN) in predicting diabetes, achieving an accuracy rate of 92.85% (Rahman et al., 2016). 🌲📈 Multi-Disease Prediction Systems Systems that use multiple classification algorithms (e.g., KNN, SVM, Decision Tree, RF, Logistic Regression) can predict several diseases, including diabetes, heart disease, chronic kidney disease, and cancer, through a single user interface (Lee et al., 2020). 🏥💡 Fused Machine Learning Models Combining SVM and Artificial Neural Network (ANN) models with fuzzy logic improves the accuracy of diabetes prediction, achieving a prediction accuracy of 94.87% (Chen et al., 2019). 🤖💪 Personalied Risk Assessment for Heart Disease ML models like KNN, Decision Tree, Gradient Boosting, and Gaussian Naive Bayes can provide personalised risk assessments for heart disease by analysing lifestyle choices and medical conditions (Smith et al., 2018). ❤️📉 Conclusion Machine learning techniques are proving to be highly effective in predicting the onset of lifestyle diseases. By utilising various algorithms and combining them with advanced feature selection methods, these models can offer accurate, low-cost, and personalised predictions. This not only aids in early detection and prevention but also enhances the overall efficiency of healthcare systems. 🌐✨ Join Our Community: https://buff.ly/3womNPs 👈 😀 Follow Us on LinkedIn https://buff.ly/3WKl5Cq 👈. 😀 #Thier, #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #NaturalLanguageModels #TechStars #BlockDojo

Predicting Lifestyle Diseases. https://shorturl.at/XTpu7. 👈 😀 Machine learning (ML) has emerged as a powerful tool for predicting the onset of lifestyle diseases, which are often linked to unhealthy habits and behaviours. These diseases include diabetes, heart disease, chronic kidney disease, and others. By leveraging large datasets and advanced algorithms, ML models can provide early warnings and personalised risk assessments, potentially improving patient outcomes and reducing healthcare costs. Key Insights Support Vector Machine (SVM) for Lifestyle Disease Prediction SVM models are effective in predicting lifestyle diseases by analysing an individual's lifestyle data, offering a low-cost alternative to genetic testing (Khan et al., 2019). 📊💻 Use of Periodical Health Checkup Data Regular health checkup data can be used to predict the onset of lifestyle-related diseases within a year, with methods like under sampling and bagging improving precision and recall (Wang et al., 2018). 🩺📅 Ensemble Learning and Feature Selection Combining genetic algorithm-based recursive feature elimination with AdaBoost enhances the prediction of multiple lifestyle diseases, demonstrating higher efficiency compared to traditional methods (Zhang et al., 2017). 🌟🔍 Comparative Analysis of ML Techniques for Diabetes Prediction Random Forest (RF) outperforms other models like SVM, Logistic Regression (LR), and K-Nearest Neighbor (KNN) in predicting diabetes, achieving an accuracy rate of 92.85% (Rahman et al., 2016). 🌲📈 Multi-Disease Prediction Systems Systems that use multiple classification algorithms (e.g., KNN, SVM, Decision Tree, RF, Logistic Regression) can predict several diseases, including diabetes, heart disease, chronic kidney disease, and cancer, through a single user interface (Lee et al., 2020). 🏥💡 Fused Machine Learning Models Combining SVM and Artificial Neural Network (ANN) models with fuzzy logic improves the accuracy of diabetes prediction, achieving a prediction accuracy of 94.87% (Chen et al., 2019). 🤖💪 Personalied Risk Assessment for Heart Disease ML models like KNN, Decision Tree, Gradient Boosting, and Gaussian Naive Bayes can provide personalised risk assessments for heart disease by analysing lifestyle choices and medical conditions (Smith et al., 2018). ❤️📉 Conclusion Machine learning techniques are proving to be highly effective in predicting the onset of lifestyle diseases. By utilising various algorithms and combining them with advanced feature selection methods, these models can offer accurate, low-cost, and personalised predictions. This not only aids in early detection and prevention but also enhances the overall efficiency of healthcare systems. 🌐✨ Join Our Community: https://buff.ly/3womNPs 👈 😀 Follow Us on LinkedIn https://buff.ly/3WKl5Cq 👈. 😀 #Thier, #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #NaturalLanguageModels #TechStars #BlockDojo

Transformative Approaches in Managing Obesity and Type 2 Diabetes through Technology and Lifestyle Changes. https://shorturl.at/PtkHl. 👈 😀 The management of obesity and type 2 diabetes (T2D) through lifestyle modifications has been a focal point of research, especially with the advent of digital health platforms and AI-driven interventions. These approaches aim to provide personalised recommendations based on the success of users with similar profiles, leveraging big data and continuous monitoring to optimise health outcomes. 🩺📊 Key Insights Lifestyle Medicine Model Reducing food portions and increasing physical activity can significantly lower weight and glucose levels. This approach emphasizes the importance of diet and exercise in managing T2D and obesity (Jensen et al., 2013). 🍎🏃♂️ Digital Health Platforms Integrated digital health platforms with AI-based dietary management show significant improvements in glycemic control and weight loss compared to routine care. These platforms provide personalised feedback and continuous glucose monitoring, leading to better health outcomes (Diabetes Prevention Program Research Group, 2015), (El-Gayar et al., 2013). 📱💡 Lifestyle Modification Strategies Lifestyle modifications, including reduced energy intake and increased physical activity, are crucial for managing and preventing T2D. Even moderate weight loss can improve insulin sensitivity and glycemic control (Tuomilehto et al., 2001), (Knowler et al., 2002). 🥗🚴♀️ Multidisciplinary Intervention Models Multidisciplinary lifestyle intervention models involving various health experts (e.g., endocrinologists, dietitians, exercise physiologists) are effective in achieving significant weight loss and increased physical activity. These models are designed to provide comprehensive support and long-term maintenance (Look AHEAD Research Group, 2014), (Garvey et al., 2012). 👩⚕️🏥 Conclusion Empirical research indicates that lifestyle modifications, particularly those involving dietary management and physical activity, are highly effective in managing obesity and type 2 diabetes. Digital health platforms and multidisciplinary intervention models enhance these efforts by providing personalised, continuous support and monitoring, leading to improved health outcomes. 🌟🩺 Join Our Community: https://buff.ly/3womNPs 👈 😀 Follow Us on LinkedIn https://buff.ly/3WKl5Cq 👈. 😀 #Thier, #Health, #MentalHealth, #Technology #DigitalHealth #Obesity #Diabetes #NaturalLanguageModels #TechStars #BlockDojo