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personalised healthcare
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The Role of Genetics in Disease Prevention and Management
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Tanvi Verma
15/11/2024
The Role of Genetics in Disease Prevention and Management
Explore the pivotal role of genetics in disease prevention and health management. Understanding genetic predispositions through testing enhances early diagnosis and personalised healthcare strategies. This article delves into the benefits and challenges of genetic testing, highlighting its impact on disease risk, treatment customisation, and the influence of lifestyle choices onExplore the pivotal role of genetics in disease prevention and health management. Understanding genetic predispositions through testing enhances early diagnosis and personalised healthcare strategies. This article delves into the benefits and challenges of genetic testing, highlighting its impact on disease risk, treatment customisation, and the influence of lifestyle choices on genetic potential. With insights into family history's role in disease susceptibility and the supportive function of genetic counselling, learn how leveraging genetic information can lead to proactive health interventions. Addressing potential risks such as privacy concerns and the emotional implications of genetic discoveries, this comprehensive guide emphasises informed consent and ethical practices in genetic testing. Unlock the potential of genetics for optimising health outcomes and embracing preventive healthcare.
Deep Learning and Its Impact on Customised Orthotic Design and Manufacturing
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Mr. Yan Wen
5/2/2024
Deep Learning and Its Impact on Customised Orthotic Design and Manufacturing
Discover how deep learning is revolutionising custom orthotic design and manufacturing in healthcare. Deep learning algorithms analyse patient data, including 3D scans and gait analysis, to create highly customised orthotic solutions that meet individual needs. This process enhances precision and improves the effectiveness of orthotics. Additionally, deep learning streamlines theDiscover how deep learning is revolutionising custom orthotic design and manufacturing in healthcare. Deep learning algorithms analyse patient data, including 3D scans and gait analysis, to create highly customised orthotic solutions that meet individual needs. This process enhances precision and improves the effectiveness of orthotics. Additionally, deep learning streamlines the manufacturing process by automating design adjustments and predictive maintenance, reducing costs and production times. The efficiency gained from deep learning makes custom orthotics more accessible and affordable for a wider audience, transforming personalised healthcare solutions. Furthermore, deep learning promotes sustainability in orthotic manufacturing by optimising material usage and reducing waste. As technology advances, the potential for deep learning to revolutionise the orthotic industry and create a future where customised healthcare solutions are the norm continues to grow.
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