Pharmacy Times

APRIL 3, 2024

is an end-to-end solution for small molecule drug discovery combining AI and ML capabilities with Aurigene's core expertise in synthesizing and testing the molecules in vitro and in vivo. Aurigene.AI

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STAT

JANUARY 17, 2024

You didn’t need machine learning to make one prediction about the year’s biggest conference for health care investors, which was held in San Francisco last week. It was going to rain. Seeing the square outside the Westin St. Francis, where the  J.P. Continue to STAT+ to read the full story…

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BioPharm

DECEMBER 8, 2023

MilliporeSigma’s new platform combines generative AI, machine learning, and computer-aided drug-design aimed at increasing the success rate of new drugs and therapies.

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STAT

APRIL 25, 2024

University of Washington professor David Baker has made a name for himself by borrowing computer science concepts like machine learning and artificial intelligence to solve problems in biology. Continue to STAT+ to read the full story…

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Compounding 120

European Pharmaceutical Review

JANUARY 24, 2024

The first in our inaugural Pharma Horizons report series is dedicated to exploring the latest advances in artificial intelligence (AI) and machine learning (ML) for drug development, pharmaceutical manufacturing and quality control. Additionally the pharmaceutical AI market is projected to reach $11.8

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PharmExec

OCTOBER 4, 2022

October 4th 2022 9 am CT |10 am ET | 3 pm BST | 4 pm CET Managing drug, vaccine, and device safety has become increasingly challenging as companies are confronted with adverse event (AE) caseloads rising as much as 30-50% per year.

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Vaccines 52

European Pharmaceutical Review

JANUARY 9, 2024

Revolutionising quality control In the backdrop of stringent quality standards and regulatory demands inherent to pharmaceutical manufacturing, the addition of AI technologies introduce a paradigm shift. Integrative Analysis of Multi-Omics Data with Deep Learning: Challenges and Opportunities in Bioinformatics.

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FDA 122

STAT

DECEMBER 13, 2023

The rules are aimed at placing guardrails around a new generation of AI models gaining rapid adoption in hospitals and clinics around the country. These tools are meant to help predict health risks and emergent medical problems, but little is publicly known about their effectiveness, reliability, or fairness.

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Hospitals 137

European Pharmaceutical Review

OCTOBER 25, 2023

Three key medicine regulatory bodies from the UK, US and Canada have collaborated to publish five guiding principles for machine learning-enabled medical devices MLMDs. The aim is to remove the regulatory burden of reassessment following certain changes and updates to a medical device by a manufacturer.

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Documentation FDA 97

STAT

JANUARY 12, 2023

But medical schools have barely started to teach about AI and machine learning — creating knowledge gaps that could compound the damage caused by flawed algorithms and biased decision-support systems. at the University of Michigan. ” Read the rest…

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Medical Schools Compounding 145

Fierce Healthcare

NOVEMBER 30, 2023

AI and the machine learning technologies behind it are starting to find their way into healthcare, taking some of the drudgery out of producing clinical notes and billing claims, as well as helping researchers unlock some of their data.

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Customer Service 96

European Pharmaceutical Review

SEPTEMBER 29, 2023

A paper published in the IEEE Sensors Journal has demonstrated 100 percent inline pharmaceutical packaging content verification by combining standard diffuse reflectance MOEMS-EC-QCL spectroscopy with artificial intelligence (AI). Automatic detection and classification of a number of pills was achieved in the study. In comparison, only 97.4

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Packaging 100

The FDA Law Blog

NOVEMBER 29, 2023

Additionally, when models are periodically or continually trained after deployment, there are appropriate controls in place to manage risks of overfitting, unintended bias, or degradation of the model (for example, dataset drift) that may impact the safety and performance of the model as it is used by the Human-AI team.

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FDA Labelling Communication 115

STAT

OCTOBER 20, 2023

The update included 171 new products that use artificial intelligence and machine learning, including 155 authorized since August of 2022. The agency’s data indicate that, after a lull during the Covid-19 pandemic, the number of authorized devices in 2023 is expected to increase by more than 30% over the prior year.

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FDA Documentation 118

PharmaVoice

JANUARY 16, 2024

FDA Commissioner Dr. Robert Califf recently spoke about the future of AI and machine learning and the need for constant vigilance to improve healthcare systems.

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FDA 59

STAT

NOVEMBER 30, 2023

More than three-quarters of AI and machine learning devices authorized by the Food and Drug Administration work with medical images — and that dominance was evident at this year’s meeting of the Radiological Society of North America, where AI vendors gathered to tout their latest offerings.

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European Pharmaceutical Review

JUNE 16, 2023

According to a recent review funded by GSK Biologicals, artificial intelligence (AI) and machine learning (ML) seems intuitively, to be well suited to perform pharmacovigilance (PV) tasks given the large volume of data, high degree of uncertainty and need to learn from data. Bate et al.

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Vaccines FDA 95

STAT

SEPTEMBER 14, 2023

Biotech startup Generate Biomedicines, which uses artificial intelligence to find new drugs, raised $273 million in a Series C funding round from investors including pharma company Amgen and the VC arm of AI giant NVIDIA. The biotech, which is based in Somerville, Mass., Continue to STAT+ to read the full story…

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IDStewardship

JUNE 5, 2023

Gauthier, Pharm.D., BCPS, BCIDP Article posted 6 June 2023 Antimicrobial resistance (AMR) has emerged as a global healthcare crisis, threatening our ability to effectively treat infections and safeguard public health. Our expert brings a wealth of knowledge and practical experience in the realm of antimicrobial stewardship.

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Vaccines Hospitals Patient Care 234

STAT

NOVEMBER 22, 2023

Entrepreneurs across the country desperate to bring the power of AI into health care are urging Washington to consider the risk of blocking innovation, bringing into focus a chasm between the startup world’s race toward deployment and regulators’ attempts to protect patients from harmful, biased algorithms.

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Documentation 122

European Pharmaceutical Review

MAY 11, 2023

The US Food and Drug Administration (FDA) has released a discussion paper to complement and inform future guidance on artificial intelligence (AI) and machine learning (ML) in drug development. The paper also highlighted that AI/ML can enhance manufacturing supply chain.

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FDA Communication 90

Hospital Pharmacy Europe

APRIL 5, 2023

While AI models are being increasing used for a range of healthcare applications, the evidence for a beneficial effect on clinician diagnostic performance is spare. AI model and hip fracture diagnosis A total of 39 studies were included, of which 46.2% with AI models and 0.79 p  = 0.36) for hip fracture radiographs.

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Hospitals 98

Outsourcing Pharma

JUNE 14, 2023

CluePoints is continuing to invest in artificial intelligence (AI) and machine learning (ML) they say they want to help clients 'extract every drop of potential from the RBQM-driven interrogation of their own datasets'. It says it recognizes the importance of educating the industry on the value of this approach.

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BioPharm

OCTOBER 11, 2023

The new Digital Health Advisory Committee will advise the agency on issues related to technologies such as AI, virtual reality, and machine learning.

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FDA 52

The FDA Law Blog

OCTOBER 16, 2023

Three of these articles focus on medical applications of Artificial Intelligence and Machine Learning (AI/ML) and explore FDA’s role in regulating such products. In the second article—“Why AI is Medicine’s Biggest Moment Since Antibiotics”—Dr. Meanwhile, FDA’s AI/ML-focused initiatives continue to expand.

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Documentation FDA 119

European Pharmaceutical Review

JANUARY 12, 2024

A recent survey from the Pistoia Alliance revealed that AI and machine learning (ML) will be the top technology investment for 60 percent of life sciences companies over the next two years. Levy is a leading life sciences expert who has published multiple articles on drug development and technology trends.

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Pharmaceutical Companies Pharmaceutical Companies 78

Pharma Mirror

SEPTEMBER 1, 2023

The integration of artificial intelligence (AI) tools across medical communications is proving to be a transformative development, ushering in increased efficiencies and innovation across the healthcare industry.

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Communication 52

ISPE

SEPTEMBER 8, 2023

On 21 April 2021, the EU Commission presented the long-awaited draft on the regulation of AI. The document is based on a number of reports from the EU Commission and aims to ensure citizens’ trust in AI systems. The regulation is the first targeted legal regulation of AI.

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Documentation 52

The Guardian - Pharmaceutical Industry

FEBRUARY 11, 2023

Researchers for a pharmaceutical company stumbled upon a nightmarish realisation, proving there’s nothing intrinsically good about machine learning Here’s a story that evangelists for so-called AI (artificial intelligence) – or machine-learning (ML) – might prefer you didn’t dwell upon.

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Pharmaceutical Companies Pharmaceutical Companies 75

Pharma Mirror

OCTOBER 17, 2022

What is AI? Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. Some Key terms associated with AI Machine learning With a limited need for programming, machines can teach themselves. Deep learning In.

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Outsourcing Pharma

AUGUST 1, 2023

A company that âtranslates science into survivalâ by developing new therapies has completed its acquisition of a technology company leading in artificial intelligence (AI) and machine learning (ML).

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Pharmaceutical Technology

NOVEMBER 25, 2022

Artificial intelligence (AI) was seen as one of the top current investment priorities and was thought to continue to attract investment in the healthcare sector in the upcoming two years, according to GlobalData's latest report ‘Digital Transformation and Emerging Technology in the Healthcare Industry - 2022 Edition’.

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Pharmaceutical Companies Pharmaceutical Companies 145

STAT

OCTOBER 17, 2023

It also feeds the data to its machine learning and AI algorithms to improve the Waystar software. Revenue cycle management company Waystar filed for an initial public offering Monday with the Securities and Exchange Commission. The company did not specify how many shares it plans to offer or what share price it is targeting.

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Hospitals 103

European Pharmaceutical Review

NOVEMBER 1, 2022

Researchers from Qingdao University of Science and Technology, China have used artificial intelligence (AI) to predict compounds that could neutralise baldness-causing reactive oxygen species in the scalp. The post Microneedle patches designed by AI restore hair in balding mice appeared first on European Pharmaceutical Review.

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Compounding 95

pharmaphorum

JUNE 3, 2021

The combination of big data and artificial intelligence/machine learning is a powerful one and nowhere more so than in healthcare. As part of BIO-Europe Spring Digital , pharmaphorum founder Dr. Paul Tunnah moderated a panel discussion about big data, AI and applications in the real world. About Bio-Europe Spring Digital.

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European Pharmaceutical Review

SEPTEMBER 12, 2023

Initial data from the CPHI Annual Report 2023, which provides insight from 250 global pharmaceutical companies, reveals that AI (artificial intelligence) is expected to transform every area of the industry, from drug discovery through to drug development , within the next 24-months.

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FDA Pharmaceutical Companies Pharmaceutical Companies 102

Outsourcing Pharma

FEBRUARY 16, 2023

The clinical stage biopharmaceutical company will use its RADR artificial intelligence (AI) and machine learning platform to transform the cost, pace, and timeline of oncology drug discovery and development.

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