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Informatics

Part three: pragmatic guidelines to getting the best out of LLMs

24 July 2024 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)

There have been a slew of announcements over the past few months from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the third of a three-part series, Dr Raminderpal Singh presents some pragmatic guidelines for scientists in accessing and obtaining value from LLMs.

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Part two: how ChatGPT enriched animal study results

15 July 2024 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)

Recently there has been a flurry of announcements from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the second of a three-part series, Dr Raminderpal Singh presents an example of usage of ChatGPT, which demonstrates how accessible LLMs have become for lab scientists.

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Capturing the computational abilities of real neurons

1 July 2024 | By Drug Target Review

A new neural network computational model has been developed, which more closely reflects the abilities of real neurons and could advance AI progress.

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AI tool identifies high-risk subtype of endometrial cancer

28 June 2024 | By Drug Target Review

The tool identified patients with high-risk disease, which normally goes unrecognised by traditional diagnostics.

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Part one: what can scientists do with LLMs today?

24 June 2024 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)

Recently there have been a flurry of announcements from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the first of a three-part series, Dr Raminderpal Singh explores what LLMs are, how early stage biotechs can take advantage of them, and what challenges they…

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Kickstarting the use of AI for biotechs: part three

20 June 2024 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)

Traditional wet lab scientists working on target discovery, drug identification and drug optimisation have an opportunity to catch up with their AI-enabled peers – but why should they, and how? In this article – the third of a three-part series – Dr Raminderpal Singh touches on the decisions that need…

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New algorithm forms atlas of histomorphological phenotypes

13 June 2024 | By Ellen Capon (Drug Target Review)

The algorithm can accurately diagnose cases of lung adenocarcinoma, determining structural features that are statistically most significant for assessing disease severity and likelihood of tumour recurrence.

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Kickstarting the use of AI for biotechs: part two

24 May 2024 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)

Traditional wet lab scientists working on target discovery, drug identification and drug optimisation have an opportunity to catch up with their AI-enabled peers – but why should they, and how? In this article – the second of a three-part series – Dr Raminderpal Singh touches on methods that are being…

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Kickstarting the use of AI for biotechs: part one

15 May 2024 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)

Traditional wet lab scientists working on target discovery, drug identification and drug optimisation have an opportunity to catch-up with their AI-enabled peers – but why should they, and how? In this article – the first of a three-part series – Dr Raminderpal Singh seeks to demystify the topic by outlining…

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Using AI to predict metastatic behaviour of NSCLC

8 April 2024 | By Dr Ramaswamy Govindan (Washington University School of Medicine), Dr Richard Cote (Washington University School of Medicine), Ellen Capon (Drug Target Review)

Dr Richard Cote and Dr Ramaswamy Govindan of the Washington University School of Medicine elucidate how AI, particularly deep learning networks, could identify histopathologic features in non-small cell lung cancer, and impact the treatment approach for early-stage patients.

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New algorithm identifies high-risk precancerous lesions

7 March 2024 | By Drug Target Review

Researchers have developed an algorithm which could improve diagnostics of ovarian high-grade serous carcinoma.

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Scalable precision design targeting complex product profiles

6 March 2024 | By Dr Víctor Sebastián Pérez (Exscientia), Ellen Capon (Drug Target Review)

We had the privilege of speaking to Dr Víctor Sebastián Pérez, Associate Director of Computational Drug Design, following his presentation at ELRIG UK 2023. He shares his insights into how Exscientia is using AI to design drug candidates for cancer treatment.

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Mapping functional states of oncoproteins with AI

12 February 2024 | By Drug Target Review

Researchers have developed a computational analysis tool which will improve patient stratification and enable personalised medicine.

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A new machine learning tool identifies drugs to minimise fibrosis

5 February 2024 | By Drug Target Review

The computer model enables a better understanding of how drugs affect fibroblasts and finds a promising candidate to prevent heart scarring.

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Advantages of using cfDNA sequencing for early detection of GDM

2 February 2024 | By Drug Target Review

A deep learning model developed using circulating cell-free DNA outperformed traditional screening methods for gestational diabetes mellitus.

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Informatics