List of things named after Thomas Bayes

• DoseMe , a leading provider of precision dosing software for therapeutic drug monitoring (TDM) and creators of DoseMeRx and DoseMe Analytics, today announced Sarah Bush Lincoln utilized its precision dosing platform to transition to area under the curve (AUC) dosing for better patient care, upgrading DoseMeRx to integrate directly into their Cerner electronic health record (EHR).
• During drug development, drug level sampling at multiple time points helps define the relationship between drug administration and the AUC.
• “DoseMeRx’s vancomycin model is the first phase of our precision dosing initiative with pediatric and obesity divisions to follow.
• Sarah Bush Lincoln has 17 extended campus primary care locations and four walk-in clinics.

• DoseMe , a leading provider of precision dosing software for therapeutic drug monitoring and creators of DoseMeRx and DoseMe Analytics, today announced the appointments of Paul Edwards to Chief Executive Officer, John Hardesky to the role of Chief Commercial Officer and Dr. Sharmeen Roy , PharmD, BCPS, to Chief Strategy and Science Officer.
• This expansion of the senior leadership team will enable DoseMe to continue to evolve its precision dosing capabilities and ensure it is supporting hospitals and care teams to individualize patient treatment results.
• Paul Edwards, CEO - Previously Paul held senior executive roles with Merck and GSK, as well as start-ups including ILUM Health Solutions, Infectious Disease Connect, and TrackMy Solutions.
• John Hardesky, CCO - An accomplished senior leader with over 20 years of commercial experience focused on the global clinical market.

• At the heart of their concern is the idea AI might become so powerful we lose control of it.
• Ultimately, AI systems should help humans make better, more accurate decisions.
• And they create incentives to collect huge amounts of data and may encourage a lax attitude to privacy, legal and ethical questions and risks.

Cause, effect and confidence

• Consequently, they are great at interpolating – that is, predicting or filling in the gaps between known values.
• It does not generate knowledge, nor the insights necessary for decision-makers operating in complex environments.
• As a result, they encourage organisations to assemble enormous repositories of data – or trawl through existing datasets collected for other purposes.

From big data to useful information

• Instead, they need useful information.
• The usefulness of the information depends on the question at hand, the decisions we face, and the value we attach to the consequences of those decisions.
• To paraphrase the US statistician and writer Nate Silver, the amount of truth is approximately constant irrespective of the volume of data we collect.

A robot on the Moon

• The degree of confidence is as important as the belief, because it is a measure of what the robot doesn’t know.
• The robot lands and faces a decision: which way should it go?
• The robot goes to its new location, records observations using its sensors, and updates its belief and associated confidence.

Mapping unknown landscapes

• Their jobs involve exploring and mapping unknown social or economic landscapes.
• Suppose we wish to develop policies to encourage all children to thrive at school and finish high school.
• We need a conceptual map of which actions, at what time, and under what conditions, will help to achieve these goals.

Learning as we go

• As new information comes to hand, new actions are chosen to maximise some pre-specified criteria.
• Where AI can be useful is in identifying what information is most valuable, via algorithms that quantify what we don’t know.
• Automated systems can also gather and store that information at a rate and in places where it may be difficult for humans.
• We do need to reform our laws and create new rules to guide the use of potentially dangerous AI systems.

• The Company believes this is a critical breakthrough to avoid the complications associated with cytokine therapy and obtain NK cells ideally suited for attacking cancer.
• Using high-dimensional flow cytometry to simultaneously analyze 31 cell surface proteins, the team analyzed resting NK cells, IL-15 LAK (LAK=lymphokine activated killer cells), CIML-NK and INKmune-primed (TpNK) side-by-side.
• The data showed at least 8 clusters of NK cell types, one of which was restricted to CIML-NK and TpNK.
• CIML-NK contains a large population of terminally activated cells with loss of spare respiratory activity, which is absent from TpNK.