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The current state of drug discovery: Is there a better way forward?

Strategic insights in ADC development: How to navigate the IP landscape

Cultivating critical biomaterial trends from scientific literature

全球科技趋势报告系列：融合蛋白药物研发态势

A panel discussion on building useful and relevant datasets for your research

Impact of COVID-19: AI and Machine Learning Solutions

Custom database grants researchers access to 50,000+ substance data

Knowledge graphs highlight top drug repurposing candidates

Boost purchasing power with a custom intelligence platform

Fostering global cooperation with a scientist-curated COVID-19 patent landscape report

iuvo BioScience Uses Improved Data to Accelerate Product Development for Clients

Improved proprietary chemical management through custom inventory screening

Fit-for-purpose workflow streamlines operations and cuts backlog by 80%

Tailored data strategies and training programs empower Toray’s scientists

Curated training datasets refine AI for accelerated R&D discovery

Turning manufacturing waste into commercial opportunities with tailored data analytics

Resolving CAS Registry Number discrepancies in the Brazilian chemical industry

Quadrupling algorithms prediction accuracy with high-quality data

Custom knowledge management system reduces search time from hours to minutes

Unified data systems save company thousands of hours and dollars

Strategies for effective collaboration between R&D and IP in pharma

How formulations data can shorten the time to develop a viable pharmaceutical product

五个可能阻碍创新战略却常被忽视的知识产权缺口

Addressing sustainability of the global patent system

预测新化学：高质量训练数据对提高预测反应精准度的影响

Artificial intelligence in chemistry

Emerging trends in drug delivery

Trends and strategies for effective IP search and analytics

Profitable digital transformation

Digital transformation in chemistry

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