Healthcare & Life Sciences

A healthcare professional in a lab coat is focused on examining a specimen under a state-of-the-art microscope with orange accents, highlighting the integration of technology in medical research. The modern laboratory is bathed in a warm, ambient orange glow, with digital screens in the background displaying advanced biomedical data.

WHERE CAN AI AID HEALTHCARE AND LIFE SCIENCES?

Healthcare & Life Sciences is clearly a name for a sector that actually spans a wide range of technical specialisms. From pharmaceuticals and biotechnology to healthcare services and medical devices. So the applications of AI will vary wildly.

With extensive first-hand experience across these different organisations, Brightbeam’s founders recognise the dangers of false promises. Instead of presenting AI as a panacea, we focus on how it can solve specific issues that have a direct impact on your organisation’s goals. 

Drug Discovery

Operational Issue

Prolonged and costly development cycles are delaying revenues or increasing opportunity costs.

What we can do

Create customised predictive modelling for drug discovery and testing using generative AI tools.

The impact we can make

Accurate and extensive predictions resulting in shortened R&D timelines and reduced costs.

Difficulties in predicting drug interactions and side effects are lengthening R&D cycles and leaving the organisation exposed to future risks.

What we can do

Draw data from multiple sources and developing AI-driven simulations for drug interactions and side effect controls.

The impact we can make

Enhanced ability to test resulting in safer drugs, minimized side effects and faster time to market.

Diagnostics

Operational Issue

Challenges in early disease detection is increasing the burden on acute patient services and treatment costs.

What we can do

Implement AI-enhanced imaging diagnostics for early and precise detection using larger datasets and anomaly indicators.

The impact we can make

Rapid diagnostic clarity resulting in improved patient outcomes as well as reduced public health costs.

An over-reliance on manual interpretation of information is lengthening time-to-diagnosis and prone to more errors.

What we can do

Automate real-time data analytics and reporting by using secure AI to collate, process and report confidential information.

The impact we can make

Near-instant reporting resulting in reduced diagnostic errors among clinicians and faster results for patients.

Clinical Trials

Operational Issue

Inefficient patient recruitment processes are leading to stalled trials or relatively negligible sampling.

What we can do

Dedicated AI algorithms for optimal patient matching and recruitment based on a number of datasets.

The impact we can make

Quick access to a suitable cohort resulting in expedited trials and more funding.

Delays in data analysis and reporting are putting the next phase of the research at risk from budget cuts.

What we can do

Provide real-time data analytics and reporting through adaptive AI tools that can cover multiple trials.

The impact we can make

Flexible yet consistent reporting resulting in efficient trial management and faster time to market.

Patient Care

Operational Issue

Generic treatment plans are restricting the wider success of healthcare programmes.

What we can do

Apply AI tools to establish treatments that are tailored to the individual.

The impact we can make

Personalised approach resulting in higher patient recovery rates and satisfaction scores.

Fragmented patient records are creating an administrative burden for an organisation judged on healthcare outcomes.

What we can do

Integrate and cleansing record management system data while layering AI to enable staff to request a range of reports.

The impact we can make

Seamless record management resulting in coordinated care pathways, improved patient outcomes and a lower cost to serve.

Get in touch

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