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Tag: ai

Software and Systems for Digital Pathology

Presented at the 4th Digital Pathology Congress, these 3 sets of slides on software and systems for digital pathology are available. Feel free to download and share with your colleagues.

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Precision Medicine in Rare Diseases

7% of the population will be affected by a rare disease at some point in their lives. In anticipation of the Precision Medicine & Biomarkers Leaders Summit: USA and in recognition of Rare Disease Day, we have collated some of the top articles on rare diseases and their treatments.

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Big Data Analytics and Artificial Intelligence: 7 Design Principles to Empower Life Science Researchers

Life sciences research is increasingly relying on big data analytics to drive scientific discovery. One of the contributing factors to this trend is the fact that researchers are confronted with a rapidly growing body of scientific literature and databases required to interpret experimental outcomes.

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Artificial Intelligence – Influencing The Clinical Practice Of Pathologists

Artificial intelligence based applications are quickly improving and they are expected to be a game changer in many fields, including transportation and medicine.

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The Best of Digital Pathology in 2017

It is that time of the year to celebrate the most significant breakthroughs and accomplishments in the field of digital pathology. 2017 has been an exciting year with Philips receiving FDA approval to market their IntelliSite Pathology Solution for primary diagnostic use in the US. 

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The Case and Need for a Digital Health Ecosystem

The current healthcare climate is on the brink of a long overdue makeover. The clinical research industry has been increasingly plagued by a resistance to change and is subsequently feeling the pain of this reluctance to modify its approach. Indicative of this trend are the rising prices of drug and medical device development, declining patient retention and adherence in clinical research, mounting administrative burdens, and exponentially growing expenses for clinical research that are unsustainable.

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Big data, knowing and AI: do they influence drug discovery?

The quest for magic bullets started with Paul Ehrlich. He wanted to target the syphilis bacteria without harming the patients, which led to Salvarsan. Ehrlich was a foundational thinker, and we owe him modern concepts such as receptor and pharmacophore. His impact on the field – seeking the ideal molecules – pervades drug discovery.

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What’s Driving Change in Drug Discovery and Development?

The past decade has witnessed huge advances in both scientific research and technological innovations within the drug discovery market. Here Dr James Willans, Chief Technology Officer of the not-for-profit organisation and educational charity, Lhasa Limited, discusses two significant areas that have the potential to further transform the industry over the coming years.

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