Personalized precision medicine

Konieczny, Leszek; Roterman, Irena

doi:10.1515/bams-2019-0047

Cited by 6 publications

(2 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Connecting genomic data to phenotypic information is an ongoing task. Such genomics data and the benefits that come with it [11] would necessitate a shift to the current healthcare system.…”

Section: Literature Reviewmentioning

confidence: 99%

Connected Health: Revolutionizing Patient Care Through Artificial Intelligence Innovations

Dr. Rahul Pulimamidi, Prabu Ravichandran

2023

tjjpt

View full text Add to dashboard Cite

The pharmaceutical sector is not immune to the radical changes brought about by the widespread adoption of AI. Automation, optimisation, and individualization are just some of the ways that artificial intelligence is being applied in the pharmaceutical business, from drug research to dispensing. This article examines how AI is already being used and where it has the potential to go in the pharmaceutical sector. We'll take a look at how AI is being used in the pharmaceutical industry, from R&D to personalised medicine to quality assurance to supply chain management to patient counselling. Data privacy, ethical concerns, and legal impediments are just a few of the difficulties we'll cover in relation to the use of AI in the pharmaceutical industry. This article will highlight studies that demonstrate how AI has the potential to drastically revolutionise the pharmaceutical industry through accelerating medicine development, improving patient outcomes, lowering costs, and increasing efficiency and accuracy across the board. This has led many to predict that AI will revolutionise every aspect of healthcare, from diagnosis to treatment to follow-up care. In most people's minds, AI techniques will supplement and improve upon existing human efforts rather than supplant them. Artificial intelligence is prepared to assist the healthcare business with administrative work, clinical documentation, patient outreach, and specialised aid in areas such as image analysis, medical device automation, and patient monitoring.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Connected Health: Revolutionizing Patient Care Through Artificial Intelligence Innovations

Dr. Rahul Pulimamidi, Prabu Ravichandran

2023

tjjpt

View full text Add to dashboard Cite

show abstract

“…This implies gathering information from people like hereditary data, physiological checking information, or EMR information and fitting their treatment in light of cutting-edge models. Benefits of accuracy medication incorporate diminished medical care costs, decrease in unfriendly medication reaction, and upgrading effectivity of medication activity [5]. Development in accuracy medication is supposed to give extraordinary advantages to patients and significantly impact the manner in which wellbeing administrations are conveyed and assessed.…”

Section: Precious Medicinesmentioning

confidence: 99%

Review Of The Involvement Of Artificial Intelligence In Healthcare

Abhishek Gireeshkumar,

Riju J Babu,

Thomaskutty A

et al. 2023

IJETMS

View full text Add to dashboard Cite

Artificial intelligence has a great impact on every aspect of our modern life. As the AI is improving day by day it has the potential to manage the landscape of health care with more accuracy and clarity. AI can be included in the planning of optimized treatment, accuracy of the diagnostics and also to improve the outcome of the patient. Healthcare field should need more precision so the involvement of the Artificial Intelligence helps in various ways such as accuracy at the first position followed by cost efficiency etc. While discussing about the AI in health care it also raises the question about the replacement of healthcare individuals such as doctors, nurses, technicians with the AI. As the AI is a model it should be trained properly so the role of such health care experts will still exist but it results in the large scale of success rate of the targeted health care activities. The AI is included in disease prediction, surgeries etc. It can also be used to suggest the measures that a patient should follow in order to avoid the disease by continuously evaluating and tracing the activities of the patient.

show abstract