All tagged Personalised Health

Predicting Lifestyle Diseases ๐ŸŒŸ

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 cos

IoT and Recommendation Systems

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

Near โ€“ field communications, real-time localisation and embedded sensors turn everyday objects into smart objects that can understand and react to their environment.

Data Sharing Frontiers and Healthcare

We are migrating to a world that is being transformed fundamentally from and analogue, to digital to a data-driven world. The Blockchain is the next major infrastructural layer of the internet. Blockchains are the fundamental new architecture for data, identity, and financial transactions.

This transformation encompasses all societal systems, such as traffic, healthcare, government, and supply chains. It is enabling these systems to be quantified, drive efficiency, remove opacity and complexity across a myriad of industry sectors.

In fact, a World Economic Forum survey suggested that 10% of global GDP will be stored on the Blockchain by 2027. 

Healthcare Data and Precision Medicine

The past decade has seen a Tsunami of data produced within and outside the healthcare apparatus. Modern inquiries into determining healthcare outcomes at an individual level and across populations. Requires significant trans-disciplinary expertise to extract valuable information, and gain actionable knowledge to deliver positive healthcare outcomes.

Nutrigenomics, and Personalised Health

The global nutrigenomics market size is expected to reach USD 850.86 million by 2025. Registering a CAGR of 16.48%. Obesity is the biggest segment for nutrigenomics and is projected to account for 38% of the total industry by 2025.

Nutrigenomics is the study of molecular relationships between nutritional stimuli and the response of the genes. It opens a window in our understanding of how nutrition influences metabolic pathways and homeostatic control.

Mooreโ€™s Law and Gene Sequencing

The first human genome based on the Sanger technology, a gene sequencing method, occurred in 2001. The Human Genome Project, was a multinational collaboration, that took 13 years to complete, involved hundreds of DNA sequencing machines and cost, approximately between US$0.5-US$1bn. 

Personalised Health, the US$141.70 bn Opportunity

Across the globe, consortiums, comprised of government, academia, companies from the field of genetics, venture capital and healthcare institutions are collaborating on population-wide genomic projects. Primarily to lay the foundation for precision medicine. Through the derivation of insights obtained from the genomic data of thousands of people across the globe.

Genomics the Next Leap Forward in Healthcare

There is a growing demand from consumers to gain access to more personalised health information. That provide insights into their predisposition to diseases, guidelines into diet based on nutrigenomics, and their culturally specific needs. As consumers connect, food choices, the environment and their genetics to health.  A number of movements such as the Wellness, the Quantified-Self and the Bio-Citizen are converging around genomics.