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Big data – charting a new path to drug discovery and development

Drug Discovery World

Tim Lowery , President, JSR Life Sciences, asks whether artificial intelligence can do for life sciences what it has done in other sectors and whether these tools can keep up with the complexities of human biology. So, where do we go from here to realise their potential in life sciences?

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Technology Trends and Collaborations are Ushering in a New Era of ‘Pharmaceutical Intelligence’

ACRP blog

The life sciences sector is increasingly leveraging technology across its operations, and this trend will continue in 2023 with more collaborations and partnerships between pharmaceutical, biotechnology, and medical device companies and information technology vendors, Lyons adds.

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Deep Learning-based Interoperability: Advanced Neural Networks Mimicking the Human Brain

Roots Analysis

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. Big data holds great promise in terms of its potential applications in the healthcare industry as mentioned below.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

Technologies like artificial intelligence (AI), machine learning (ML) and robotics/automation are enabling researchers to process enormous data sets and conduct preclinical investigations in record time, speeding up the process and offering greater accuracy. AI brings exciting opportunities to generate new insights and improve processes.

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Medical Informatics and Rare Disease: a bridge between two worlds

pharmaphorum

Together, the webinar panellists explored the potential of medical informatics solutions and methods in rare disease research, studies, data optimisation, and usability to overcome these challenges, all whilst maintaining compliance with data protection regulations and a patient-centric approach.

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Top 30 Pharma and Biotech Companies in 2023: Statistics and Trends

XTalks

Join us as we present an in-depth analysis of each company’s revenue, net income, R&D investments, core therapeutic areas, market presence and strategic collaborations. is a global pharmaceutical company, working across both developed and emerging markets. 2022 Revenue: Pfizer reported an annual revenue of $100.33 Pfizer Inc.

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The case for AI and machine learning in life sciences

Pharmaceutical Technology

The current tech landscape is rapidly evolving, with advancements in areas such as big data and conversational platforms. Most of us have heard of ChatGPT and AI but where and how do they fit into the life sciences ecosystem? Neural networks learn to “translate” from language A to language B.