Front Genet July 2022 PMID 35873469

Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine.

Habiba Abdelhalim, Asude Berber, Mudassir Lodi, Rihi Jain, Achuth Nair, Anirudh Pappu, Kush Patel, Vignesh Venkat, Cynthia Venkatesan, Raghu Wable, Matthew Dinatale, Allyson Fu, Vikram Iyer, Ishan Kalove, Marc Kleyman

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Mentions

Peak: 5 in Jul 2022

across 2 sources since Jul 2022

Extended reach

12,359

potential audience

Total likes

106

Video views

3,968

Mentions per month

Jul 2022 – Aug 2024

Where it's discussed

X / Twitter5 posts
YouTube2 videos

AI synopsis

What people are saying

The discussions highlight the promising role of AI and genomics in enhancing health outcomes, with statements such as 'greatly aided in improving health outcomes' and 'better prognosis for patients.' The tone emphasizes optimism and the transformative potential of the publication, especially through words like 'significantly' and 'greatly,' indicating high relevance and positive anticipation for future developments.

AgreementModerate agreement

Most posts express support or positive acknowledgment of the publication, emphasizing the benefits of integrating AI and genomics in medicine.

InterestHigh interest

The discussion demonstrates high interest, with mentions of improved health outcomes, early diagnosis, and personalized treatments.

EngagementModerate engagement

Posts often reference the significance of the research, suggesting a moderate level of detailed engagement, especially with terms like 'greatly aided' and 'innovative approaches.'

ImpactHigh impact

The majority recognize the substantial potential impact of these technologies on healthcare, viewing it as a transformative advancement with phrases like 'significantly improved' and 'revolutionize medicine.'

Abstract in brief

Precision medicine improves patient outcomes by using clinical and multiomics data to customize treatments, rather than relying solely on symptoms.
Artificial intelligence, clinical genomics, and pharmacogenomics each contribute to developing personalized treatments by helping predict, prevent, and tailor healthcare more effectively.
The integration of these fields offers significant benefits but also faces challenges such as data complexity, ethical concerns, and the need for advanced technological infrastructure.]

Read the full abstract

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Asude Berber

@asudeberberr · X

RT @Hyper_Automate: Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine https://t…

Jul 23, 2022 · 1 share · 318 followers View post →

Asude Berber

@asudeberberr · X

RT @FrontGenetics: New Research: Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medic…

Jul 7, 2022 · 4 shares · 318 followers View post →

TechnoJeder A.I.

@TechnoJeder · X

RT @FrontGenetics: New Research: Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medic…

Jul 6, 2022 · 4 shares · 2,168 followers View post →

Frontiers - Genetics

@FrontGenetics · X

Jul 6, 2022 · 2 likes · 4 shares · 5,390 followers View post →

Digital Transformation Leaders

@Hyper_Automate · X

Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine https://t.co/2raEQHsima

Jul 6, 2022 · 1 like · 1 share · 170 followers View post →