Nested Knowledge

Nested Knowledge does a lot of great things and you don't need to be doing a complete systematic review to get value from your nest.

Check out the latest blog post to learn more...

Not Systematic? That's Ok!

Not Systematic? That's Ok! Any medical researcher can tell you that systematic reviews are hard. It’s not just the difficulty of building out a research question/protocol/search strategy that is intimidating—there is also simply a large burden in screening and extraction to ensure the true comprehensiveness of the studies...

Whether your new to Nested Knowledge or are having trouble conquering your first nest, this article will be a great read.

Dive into some tips and tricks to keep in mind when exploring your first nest!

Check it out below >>>
https://hubs.la/Q01Rdb0n0

The future of systematic reviews and clinical evidence is uniquely human. However, as AI technology matures, its predictions and mimicry could begin to align so closely with the truth that we just start calling them accurate. Certainly, AI is already surpassing the accuracy of humans at certain tasks. However, it’s important to remember that this tool is still just an algorithm, meaning it will always require human input. In the realm of systematic reviews especially, human expertise is needed to provide the initial search concepts of interest, identify qualitative concepts we want to contrast across studies, and indicate the quantitative data elements for which we want to compute treatment effects. The tools at hand may evolve, but it’s always going to be the human researcher who dreams up and structures the study.

With the promising results in mind, we at Nested Knowledge will certainly consider ways to incorporate AI like this into our software in places where perfect accuracy matters less, or where the results of automation can be checked for accuracy by reviewers. It’s very possible that ChatGPT or something like it could integrate directly into our platform and offer more intelligent suggestions, better predictions, and quick summaries in the very near future.

Read more in our latest blog post: https://hubs.ly/Q01yCbPW0

It's amazing when Artificial Intelligence meets healthcare! Take a look at this! Drexel University https://hubs.la/Q01x4d0N0

PLOS Study: https://hubs.la/Q01x4fkR0

Study: AI Behind ChatGPT Could Help Spot Early Signs of Alzheimer's Disease The artificial intelligence algorithms behind the chatbot program ChatGPT — which has drawn attention for its ability to generate humanlike written responses to some of the most creative queries — might one day be able to help doctors detect Alzheimer’s Disease in its early stages. Research fr...

Check out what the authors of this article consider the "Best Practices For Evaluating The Relevance And Quality Of RWD" https://hubs.la/Q01x4fV10
Clinical Leader

Best Practices For Evaluating The Relevance And Quality Of RWD Data scientists from Merck's Real-World Data Analytics and Innovation team share how they applied the Use-case specific Relevance and Quality Assessment (UReQA), a fit-for-purpose RWD quality framework, to assess and select high-quality and relevant data for RWE studies.

Interesting article for you to check out from Cold Spring Harbor Laboratory! https://hubs.la/Q01wSp0N0

Cracking the mystery behind a deadly brain cancer - Cold Spring Harbor Laboratory The brain cancer, glioblastoma, is a fierce and formidable opponent. Its millions of victims include Senator John McCain, President Biden’s son, Beau, and famed film critic Gene Siskel, to name just a few. Most patients succumb within two years and few make it past five, a statistic that hasn’t ...

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ACRP 2023 | Expo Enjoy coffee, lunch, and happy hours with your friends at the Expo! Check out the latest new solutions and meet with people from all areas of clinical research.