Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

Pharma companies are expanding the use of predictive analytics across the value chain: Expert: Shardul Nautiyal, Mumbai Saturday, July 11, 2026, 08:00 Hrs [IST] Pharmaceutical com ...

As drought strains water supplies across much of the United States, Virginia Tech researchers have developed an artificial ...

And the predictive marketers building toward omniplatform marketing drive measurable differences in customer acquisition, ...

Systematic fixed-income investing is an active approach that aims to beat market returns by identifying and harnessing the ...

Biopharma companies won’t fully capture the benefits of AI unless they reorganize their R&D units, according to McKinsey.

The large language models (LLMs) that form the basis of generative AI chatbots such as ChatGPT, Claude, and Gemini can ...

Artificial intelligence is no longer an emerging technology in mortgage servicing. For many servicers, it has already become ...

The first phase of the AI race was dominated by algorithms and computing power. The next phase may be defined by the ability ...

The future of equitable AI in community health centers will be measured by how effectively we are able to demand partnership ...

For years, SMEs have been told to “do more with less”, expected to compete with larger organisations while working with ...

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...