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When AI is applied to the surface plasmons, the results can assist in detecting and treating cancer and do in-vitro studies of neuron cells. The technology also holds promise in the biomedicine and molecular diagnostics fields.
FREMONT, CA: The medical and healthcare field demands continuous innovation to make the world inhabitable and sustainable, and its people healthier, and fitter and Artificial Intelligence (AI) is playing a crucial role in those areas. According to research, AI in healthcare is projected to be worth a US$8 billion market by 2026.
The social firmaments are abuzz with a lot of flutter about the most up-to-date AI technology. The significance of AI and its several applications are not now, even as they continue to make an exceptional difference in people’s lives and contribute to almost every facet of science, innovation, technology, and business.
Below are some ways AI is revolutionizing and transforming the medical and healthcare industry:
1. Intelligent Plasmonics
Since the introduction of Plasmonics, research groups have unearthed new possibilities for the concept. Some are already used and others in the pipeline to catapult the field from research labs to the mainstream. Plasmonics is the study of the event when free electrons at the interface between a dielectric material (air or glass) and metal interact with electromagnetic oscillations in particular conditions and generate particles called plasmons. When AI is applied to the surface plasmons, the results can assist in detecting and treating cancer and do in-vitro studies of neuron cells. The technology also holds promise in the biomedicine and molecular diagnostics fields.
Cochlear implants and pacemakers have become vital technologies for improving people’s health and function. Electroceuticals, also known as bioelectronics, are implantable devices. They can be placed on the relevant nerve to alter the signals transmitted to the brain and other organs to treat disease. AI-based solutions and signal processing can ensure more accurate and valuable insights into the neural simulation. Providing advanced solutions to conditions such as epilepsy, gastroparesis, asthma, and several cardiac disorders are not far away. AI-fortified electroceuticals are becoming a preferred and reliable alternative to pharmaceuticals.
3. Molecular Design
AI and machine learning (ML) augment the study, analysis, representation, and regeneration of structural molecules and their chemical and physical properties. The traditional process of studying, experimenting, and analyzing using large data sets for molecular design and drug discovery comprises a lot of manual effort and is error-prone, complicated, and time-consuming. However, AI and ML can hasten the entire process by using optimization and automation models and produce cost-effective and enriched results with minimal human errors.
4. Personalized Treatment and Medicines
Precision medicine, as it is commonly known, is tailor-made, focused care for persons and small groups based on the genetic code, certain key traits, and other data. For instance, different patients receive different treatments for a particular type of cancer based on their subtype.
However, many biotechnology experts believe that personalized medicine has no future without AI. Unless AI is used in the analysis, prescription, and prediction, the most excessive volume of patient genome data one has will remain unmined. Moreover, AI facilitates to manage the staggering numbers and bring them into controllable proportions by training multifarious models and deriving value from them.
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