Artificial intelligence in Nanomedicine


Artificial intelligence brings up to the simulation of human intelligence in machines that are programmed to think like humans and impersonator their actions. The term may also be applied to any machine that exhibits characters associated with a human mind such as learning and problem-solving. When most people hear the term artificial intelligence, the first thing they typically think of is robots.

Artificial intelligence is created on the principle that human intelligence can be defined in a way that a machine can easily impersonator it and execute tasks. The goals of artificial intelligence include learning, reasoning, and observation. The applications for artificial intelligence are endless. The technology can be applied to many different sectors and industries. AI is being tested and used in the healthcare industry for treating drugs and different treatment in patients, and for surgical procedures in the operating room.

Artificial intelligence can be divided into two different categories:

·           Weak artificial intelligence
·           Strong artificial intelligence

The field of nanomedicine had made substantial strides in the areas of therapeutic and diagnostic development. For example, nanoparticle-modified drug compounds and imaging agents have resulted in distinctly enhanced treatment outcomes and divergence efficiency.  In modern years, tentative nanomedicine platforms have also been taken into the clinic, with regulatory approvals for Abraxane and other products being awarded. As the nanomedicine field has continued to progress, different methods have been discovered to simultaneously fit in therapeutic and diagnostic agents onto a single particle, or deliver multiple nanomedicine-functionalized therapies in unison. Nanomedicine-based drug delivery is often discovered at fixed doses. A determined challenge in all forms of drug administration is that drug cooperation is time-dependent, dose-dependent and patient-specific at any given point of treatment.

To overcome this the challenge, the development towards nanomedicine-mediated co-delivery of multiple therapies have made the potential of interfacing artificial intelligence (AI) with nanomedicine to sustain optimization in combinatorial nanotherapy a reality. Precisely, improving drug and dose parameters in combinatorial nanomedicine supervision is a specific area where artificial intelligence can actionably recognize the full potential of nanomedicine. To this end, this review will inspect the role that artificial intelligence can have in significantly improving nanomedicine-based treatment outcomes, particularly in the perspective of combination nanotherapy.

Artificial intelligence also has applications in the financial industry, where it is used to detect and ensign activity in banking and finance such as infrequent debit card usage and large account deposits—all of which help a bank's fraud department. Applications for AI are also being used to help streamline and make trading easier. This is done by making supply, demand, and pricing of securities easier to estimate.

Contact
Alan Jane
Program Manager | Nanomedicine Meet 2020
Email Id: nanomedicinemeet@memeetings.com

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