Pharma Marketing Network

MARCH 23, 2023

Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered. References 1. 8 (2018) 2. 1 (2016) 3.

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Drug Discovery World

JULY 18, 2022

Big data and AI are all the rage. But, beyond these buzzwords and the quantity of data, what’s next for these powerful tools? His work provides insight into AI and big data in relation to pharma and drug discovery– now and in the future. AI and big data are now commonly involved with drug discovery and development.

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pharmaphorum

MARCH 11, 2021

Real-world evidence (RWE) is emerging as an important area of research to reveal, in real time, new insights and innovations and is accelerating the development of new and innovative therapies and treatments to improve patient outcomes. The post AI, big data and deep real-world evidence – the challenges and opportunities appeared first on.

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pharmaphorum

JANUARY 4, 2021

Jennifer Haas, executive vice president of Noteworth, shares her 2021 predictions surrounding the future of telehealth and big data. . The ability to use big data in healthcare through digital medicine will prove to be invaluable for healthcare organisations as they work through the pandemic and the new world it has created.

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Drug Discovery World

JULY 11, 2023

Drug discovery and development timelines can span 10-15 years or more from initial discovery to market approval and typically require the analysis of massive amounts of data. How AI and ML are influencing drug development Biopharma has experienced significant growth in using these technologies for the past 10 years.

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ACRP blog

JUNE 7, 2023

If you hadn’t already noticed, the clinical research enterprise has well and truly entered the era of “big data,” artificial intelligence (AI), and machine learning. Edited by Gary Cramer The post Recognizing the Real People Behind the Big Data and Artificial Intelligence in Clinical Research appeared first on ACRP.

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Pharmaceutical Technology

OCTOBER 1, 2022

Ventus Therapeutics and Novo Nordisk have signed an exclusive global licence agreement for the development and commercialisation of candidates from the former’s peripherally-restricted NLRP3 inhibitors portfolio. The post Ventus and Novo Nordisk enter NLRP3 inhibitor development deal appeared first on Pharmaceutical Technology.

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Scienmag

AUGUST 18, 2020

UTA researcher working to make data more usable and accessible Credit: UT Arlington A computer science professor at The University of Texas at Arlington is working with researchers to develop a process by which data points in multiple graph layers of a very large dataset can be connected in a way that is both highly […].

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Scienmag

DECEMBER 27, 2021

Developing lowcost and highly efficient electrocatalysts for oxygen reduction reaction (ORR) to replace commercial Pt/C has always been desired to greatly reduce the cost of polymer electrolyte membrane (PEM) fuel cells.

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Pharmaceutical Technology

SEPTEMBER 13, 2022

Novo Nordisk has signed a new strategic partnership with Microsoft to expedite the discovery and development of drugs leveraging big data and artificial intelligence (AI). The AI models developed out of the partnership will be utilised for a variety of use cases, of which the initial two are underway.

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Pharmaceutical Technology

JANUARY 16, 2023

The report also suggested that Big Data was thought to be the most important partner to AI, in terms of introducing technology-related changes in the pharmaceutical sector (Figure 2). One such emerging technology, artificial intelligence (AI), is expected to play an important role in the pharmaceutical sector in 2023.

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pharmaphorum

APRIL 22, 2021

Real-world evidence (RWE) is emerging as an important area of research to reveal, in real time, new insights and innovations and is accelerating the development of new and innovative therapies and treatments to improve patient outcomes.

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Pharmaceutical Technology

JULY 1, 2022

Given the deadline, we explore the current relevance and achievability of the WHO’s target, and why it proved challenging for some developing nations in Africa. Read the latest issue of Pharma Technology Focus for all this and more news, insights, data and analysis from the pharmaceutical industry.

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Scienmag

SEPTEMBER 24, 2020

DrBioRight uses natural-language interface to facilitate intuitive data analysis for broader research community Credit: The University of Texas MD Anderson Cancer Center HOUSTON — A new data analysis tool developed by researchers at The University of Texas MD Anderson Cancer Center incorporates a user-friendly, natural-language interface to allow (..)

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pharmaphorum

SEPTEMBER 16, 2022

With approximately one third of all current FDA-approved drugs targeting GPCRs, Verily/Sosei Heptares are looking to expedite GPCR research within not only immunology, but also gastroenterology and immuno-oncology as well, and the latest data bodes well for future development of therapeutic options in these areas.

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Pharmaceutical Technology

MAY 31, 2023

The university and Pharos have drawn up a memorandum of understanding (MoU) to use AI technology to identify potential compounds for the rapid development of treatments. Drug discovery initiative director Professor Michael Kassiou stated: “The process of developing drugs for treating disease is highly complex.

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Scienmag

APRIL 27, 2021

2021 Skoltech researchers used Google Trends’ Big Data ensuing from human interactions with the Internet to develop a new methodology – a tool and a data source – for analyzing and researching the growth of startups. Credit: Malyy et al.,

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pharmaphorum

DECEMBER 14, 2020

As the first microbiome-based therapeutic steps closer to market approval, the scientific community continue to demonstrate the functional role of the human microbiome as a novel source of therapeutic, biomarker and diagnostic development. The post 5th Microbiome Movement – Drug Development Summit Europe 2021 appeared first on.

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Scienmag

MARCH 31, 2021

Scientists develop a statistical randomness-based framework to optimally classify extremely large datasets without needing large memories Credit: Ryo Maezono from JAIST.

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Scienmag

FEBRUARY 26, 2021

The total amount of data generated worldwide is expected to reach 175 ZB (Zettabytes; 1 ZB equals 1 billion Terabytes) by 2025. We face the urgent need to develop storage technologies that can accommodate this […]. If 175 ZB were stored on Blu-ray disks, the disk stack would be 23 times the distance to the Moon.

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Pharma Marketing Network

JULY 19, 2023

The use of big data: Big data is the collection and analysis of large amounts of data. Pharmaceutical companies can use big data to better understand their target audiences, track the effectiveness of their marketing campaigns, and identify new opportunities.

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Roots Analysis

APRIL 4, 2023

Machine learning is one of the essential concepts that has significantly driven progress in the development of artificial intelligence. In addition to the advances in processing power of computing machines and the development of smarter algorithms, big data is considered to be one of the key drivers of growth in this segment.

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Pharmaceutical Technology

OCTOBER 27, 2022

Belfast startup AMPLY has raised £900,000 to develop a range of new products that hopes to tackle multi-drug resistent pathogens using its artificial intelligence (AI) drug discovery platform. The funding round comes as medtech funding has increased over the past decade, according to new data from GlobalData, accessed on September 22.

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Scienmag

SEPTEMBER 23, 2021

One of the challenges in the era of Big Data is dealing with many independent variables, also known as the ‘curse of dimensionality’. Therefore, there is an urgent need to develop algorithms that can select subsets of features that are relevant and have high predictive powers.

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BioTech 365

NOVEMBER 22, 2021

Red Cell Forms Zephyr AI to Revolutionize Drug Discovery and Precision Medicine Red Cell Forms Zephyr AI to Revolutionize Drug Discovery and Precision Medicine Zephyr AI Applies Artificial Intelligence and Big Data to Advance Drug Development, Streamline Clinical Trials, and … Continue reading →

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Drug Discovery World

JULY 5, 2023

You can also request to receive a copy of the printed magazine  here.

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Scienmag

FEBRUARY 15, 2021

Billions of euro in health care costs – arising from osteoporosis-related bone fractures – could be saved by improved use of existing databases Years of suffering and billions of euro in global health care costs, arising from osteoporosis-related bone fractures, could be eliminated using big data to target vulnerable patients, according (..)

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pharmaphorum

NOVEMBER 30, 2020

These included the use of big data and artificial intelligence in drug development , with a focus on hard-to-treat, neurodegenerative diseases.

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ACRP blog

APRIL 5, 2023

AI is increasingly important in drug discovery and development as well as clinical trials, operations, pharmacovigilance, and many other areas.” This will also allow companies to utilize advanced computational models to find better treatments more quickly while also reducing costs associated with drug development.

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Scienmag

NOVEMBER 18, 2020

Researchers at DTU and the University of Copenhagen have developed a ground-breaking model that provides a completely new understanding of our movement patterns In recent years, big data sets from mobile phones have been used to provide increasingly accurate analyses of how we all move between home, work, and leisure, holiday and everything else.

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Pharmaceutical Technology

AUGUST 2, 2022

According to the same report, physicians from the UK, Spain and China were the most positive about the ability of EHRs to increase patients’ quality of care.

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pharmaphorum

MAY 23, 2022

The device will be worn by 2,000 people for a year, harvesting data on sleep status, heart rate, and activity levels, according to the study partners, which also include digital health and telemedicine firm MICIN and Tohoku University. ” The post Takeda, Daiichi-backed wearable study planned in Japan appeared first on.

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pharmaphorum

JANUARY 24, 2022

Exploring the Impact of Machine Learning and Artificial Intelligence in Drug Development from Discovery to Healthcare. AI in drug discovery is becoming an integral part of the research and development area of treating diseases with more companies incorporating ‘Big Data’ and data scientists within their R&D teams.

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Rethinking Clinical Trials

JUNE 26, 2023

He recommended sitting down with people as equals to co-develop research. People just don’t show up because you have a good study. You have to have some kind of community connection,” he said. Don’t come to them with ‘here’s what I’ve got to offer you’—there has to be some evolution of goals during that process.”

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pharmaphorum

MARCH 19, 2021

The oceans of health data out there can be overwhelming for pharma companies to manage – but if extracted correctly, the prospect to develop drugs from scratch in as little as a year is very real, says Lifebit CEO, Dr Maria Chatzou Dunford. . on Big data: astronomical or genomical? ,

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XTalks

MAY 9, 2024

We also invented four proprietary antibody technologies, including our DuoBody® bispecific technology which is the backbone of four FDA-approved bispecifics and over ten in development. What factors do you attribute to the company’s success in the discovery and development of differentiated antibody therapeutics?

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Drug Discovery World

FEBRUARY 6, 2023

Johannes Goll, Global Head of Emmes’ Biomedical Data Science and Bioinformatics department, explains how big data analytics can deliver improved therapies and bring clinical research one step close to realising the potential of personalised care. Figure 2: Advanced data visualisation examples for transcriptomics data.

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