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By reading this brochure, you will learn:

The limitations of relying just on PubMed for knowledge reviews and what insights will be missed
How advanced data curation connects together causal insights from multiple sources and uncovers cause-and-effect relationships not previously described in the literature
What return-on-investment can be delivered by leveraging advanced data curation technology
What others in the biopharma industry have to say about advanced data curation

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Making AI Work for Drug Discovery: A Joined-up Approach

CSO Ben Sidders speaks with the Journal for Clinical Studies

December 13, 2024

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5 min read

Latest Webinars

Here you can find upcoming live webinars and recordings of past webinars. Follow Biorelate on LinkedIn for new webinar announcements.

January 22, 2025

How to get the best out of RAG for scientific research

This panel discussion webinar features RAG experts speaking to the perspectives of both best practices for 'doing RAG' (Jim Webber, Chief Scientist at Neo4j) as well as experts in the field implementing RAG for biopharma research (Krishna Bulusu, AstraZeneca).

Building causal hypotheses in drug discovery

In this webinar, drug discovery research experts discuss opportunities to use AI and data driven approaches to create more robust models for developing actionable hypotheses.

December 5, 2024

Knowledge Graphs in Drug Discovery p10 full conference video

Knowledge Graphs in Drug Discovery Part 10 full conference video with speakers from across academia and industry

October 30, 2024

Mastering LLMs and Knowledge Graphs

Mastering LLMs and Knowledge Graphs - Tony Seale, 'The Knowledge Graph Guy'

October 30, 2024

An Ignorance-Base for Prenatal Nutrition: A Knowledge Graph to Explore the Literature's Known Unknowns

An Ignorance-Base for Prenatal Nutrition: A Knowledge Graph to Explore the Literature's Known Unknowns Speaker: Mayla R. Boguslav, Research Associate, Southern California Clinical and Translational Science Institute https://webinars.biorelate.com/an-ignorance-base-for-prenatal

October 30, 2024

Knowledge Graphs and Graph Neural Networks for Early Drug Target Characterization

Knowledge Graphs and Graph Neural Networks for Early Drug Target Characterization Speaker: Andrei Zinovyev, In Silico R&D Department, Evotec

October 30, 2024

Knowledge Graphs in Drug Discovery p10

The aim of the conference is to showcase knowledge graph use cases, tips and tricks and thought leadership to the biopharma community.

October 30, 2024

LLMs in the Real World p2 Pistoia Alliance co-hosted panel

Large Language Models in the Real World part 2, a Pistoia Alliance and Biorelate co-hosted webinar

Knowledge Graphs in Drug Discovery p9 full conference video

Jon Hill - Boehringer Ingelheim - Using Retrieval Augmented Generation Approaches To Gather Information for Drug Discovery

Jon Stevens - AbbVie, Inc. - Ask ARCH: LLM Question Answering over Large-Scale Knowledge Graphs

Miguel Gonçalves - AstraZeneca - Multi-modal Knowledge Graphs for Precision Oncology

James Longden - e-therapeutics - HepNet: A Computational Platform for Target Identification

HepNet: A Computational Platform for Target Identification

February 7, 2024

Andrea Splendiani - IQVIA - Beyond R&D: experiences in bringing Knowledge Graphs and FAIR beyond their comfort zone

'Beyond R&D: experiences in bringing Knowledge Graphs and FAIR beyond their comfort zone'

February 7, 2024

Knowledge Graphs in Drug Discovery p8 full conference video

Watch the recording of Knowledge Graphs in Drug Discovery Part 8 featuring speakers from AstraZeneca, e-therapeutics and IQVIA

February 6, 2024

Manasa Ramakrishna - AstraZeneca - Text-mined information and its usage in machine-learning based target prediction

Text-mined information and its usage in machine-learning based target prediction

February 1, 2024

Cedric Berger - Roche - Walking Down the Data-Centric AI Road with Knowledge Graphs at Your Side

Walking Down the Data-Centric AI Road with Knowledge Graphs at Your Side recorded conference talk

October 1, 2023

Sophia Krix - Fraunhofer SCAI - Adverse Event Prediction with Multimodal Graph Neural Network

Watch this talk by Sophia Krix, Fraunhofer SCAI, on ‘Adverse Event Prediction with Multimodal Graph Neural Network'

October 1, 2023

Natalie Romanov - Merck KGaA - Leveraging Knowledge Graph Representation of Data for FAIR and Machine Learning Analytics

Leveraging Knowledge Graph Representation of Data for FAIR and Machine Learning Analytics

October 1, 2023

Knowledge Graphs in Drug Discovery p7 full conference video

Watch the recording of Knowledge Graphs in Drug Discoveryp7 featuring speakers from Roche, Merck and Fraunhofer

October 1, 2023

Tom Freeman - Janssen - From lab data to graphs: pattern finding in high dimensional data

'From lab data to graphs: pattern finding in high dimensional data'

November 1, 2022

Tom Chittenden - Bio-AI Health - Exascale Causal AI Computing for the Biomedical Sciences

Exascale Causal AI Computing for the Biomedical Sciences

November 1, 2022

Daniel Jamieson - Biorelate - Cause-and-Effect to Empower Drug Discovery

Cause-and-Effect to Empower Drug Discovery.

November 1, 2022

Knowledge Graphs in Drug Discovery p6 full conference video

Knowledge Graphs in Drug Discoveryp6 full conference video featuring speakers from Janssen, Bio-AI Health and Biorelate

November 1, 2022

Sergio Baranzini - UCSF - SPOKE: a massive biomedical knowledge graph to advance precision medicine

SPOKE: a massive biomedical knowledge graph to advance precision medicine' Watch the full conference here

Knowledge Graphs in Drug Discovery Part 5 full conference video

Knowledge Graphs in Drug Discovery Part 5 full conference video with speakers from Janssen, AstraZeneca, UCSF, and Pepper Bio

Samantha Dale Strasser -Pepper Bio - Transomics: Ushering in a new era of drug discovery

'Transomics: Ushering in a new era of drug discovery'

Galactic Web | Deep literature search example: how is obesity related to Alzheimer's Disease?

In this demo of use cases for Alzheimer's Disease, you can see how Galactic Web reveals the evidence of latest developments, affected genes, and cause-and-effect relationships

Shameer Khader - AstraZeneca - Enabling discovery of drug targets to optimising clinical trials using biomedical big data and Knowledge Graphs

Enabling discovery of drug targets to optimizing clinical trials using biomedical big data and Knowledge Graphs

Jyothish Soman - Relation Therapeutics - Utilising graph machine learning within drug discovery and development

Jyothish Soman, the Director of Engineering at Relation Therapeutics - 'Utilizing graph machine learning within drug discovery and development'

Vivek Das - Novo Nordisk - Role of Bioinformatics in present era of high-throughput Biology and Drug Discovery

The Role of Bioinformatics in present era of high-throughput Biology and Drug Discovery '.

Jim Webber - Neo4j - Graph Data Science and Graph Machine Learning for the Uniniated

Jim Webber, the Chief Scientist at Neo4j, 'Graph Data Science and Graph Machine Learning for the Uniniated'

Martin-Immanuel Bittner - Arctoris - Trends in Biotech and the Emergence of Data-Driven Drug Discovery

Martin-Immanuel Bittner 𝘔𝘋 𝘋𝘗𝘩𝘪𝘭 𝘍𝘙𝘚𝘈, Co-Founder & CEO of Arctoris discussing 'Trends in Biotech and the Emergence of Data-Driven Drug Discovery'

Sylvain Costes - NASA Space Biology - Open Science Effort to Foster Space Exploration

Sylvain Costes - NASA Space Biology - Open Science Effort to Foster Space Exploration

January 1, 2022

Krishna Bulusu - Knowledge Graphs for Target Discovery and Precision Oncology at AstraZeneca

Krishna Bulusu - Knowledge Graphs for Target Discovery and Precision Oncology at AstraZeneca

January 1, 2022

Tunca Dogan - Hacettepe University - A Knowledge Graph-Based Computational System for Heterogeneous Biomedical Data

Tunca Dogan - Hacettepe University - A Knowledge Graph-Based Computational System for Heterogeneous Biomedical Data

January 1, 2022

Andre Freitas - University of Manchester - Industrial-scale Scientific Reasoning: Encoding Abstract Natural Language Inference

Andre Freitas, University of Manchester - Industrial-scale Scientific Reasoning: Encoding Abstract Natural Language Inference

January 1, 2022

Ben Sidders - AstraZeneca - Knowledge graphs for drug discovery

Ben Sidders - Head of Oncology Bioinformatics at AstraZeneca - Knowledge graphs for drug discovery

October 1, 2021

Özge Gürbüz - Boehringer Ingelheim - Knowledge Graphs for Indication Expansion

Özge Gürbüz - Boehringer Ingelheim - Knowledge Graphs for Indication Expansion

October 1, 2021

Alex Ridden - Knights Analytics - Monitoring Commercial Developments using Knowledge Graphs

Monitoring Commercial Developments using Knowledge Graphs

October 1, 2021

Maria Chatzou Dunford - Real-time disease surveillance using artificial intelligence & Lifebit REAL

Maria Chatzou Dunford - Real-time disease surveillance using artificial intelligence & Lifebit REAL

October 1, 2021

Dr Namshik Han - Milner Therapeutics Institute - Data-driven computational approaches for identifying novel therapeutic targets

Data-driven computational approaches for identifying novel therapeutic targets

Tomás Sabat Stöfsel - Vaticle - Enabling the Computational Future of Biology

Enabling the Computational Future of Biology

Jonny Wray - e-therapeutics - Network-Driven Drug Discovery

Network-Driven Drug Discovery

Dr Nikola Milosevic - Bayer Pharmaceuticals - Moving from information retrieval to knowledge graphs

Moving from information retrieval to knowledge graphs

Biorelate Introduction: NLP-curated causal data & knowledge graph construction for lung cancer

Biorelate Introduction: NLP-curated causal data & knowledge graph construction for lung cancer

Galactic AI™ represents a quantum leap in the field of biomedical literature search and curation

By leveraging the power of Galactic AI™, researchers can accelerate the pace of discovery and innovation in the biomedical field, leading to breakthroughs in understanding, preventing, and treating diseases.

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