Dementia science has developed some remarkably sophisticated tools with the aims of understanding the course of the underlying neurodegeneration and opportunities to prevent it or slow it down.  Despite valiant efforts to portray the findings in the light of a, favoured, disease

All kinds of insurer will at some point need to risk assess AI systems where these influence their commercial policy-holders. AI systems automatically generate selected information outcomes intended as advice or for direct control of processes. Who is liable for any attributable damag

England began lockdown 2.0 on the 5th November. Much has been learned since September when lockdown 2.0 would have saved a lot of lives. Starting on the 5th of November it came rather late in the day and even before it has ended, it is quite clear that lockdown 3.0 should be expected.

Many parts of the world have experienced a period when infection status testing became reliable and meaningful. However, the expected success of the much awaited vaccines, now about to be approved, will inevitably create testing uncertainty, provide greater opportunities for false cla

Addiction is not new. Drug trade wars have been fought. Legislation passed. Empires funded. Social ills disguised, profits made, careers progressed, lawyers enriched, jails filled, politicians acclaimed, lives ruined. Fundamental to addiction is that humans are strongly adapted to bot

IARC on Glyphosate – what to do when a mistake is made? The Governing Council of the International Agency for Research on Cancer (IARC[1]) is meeting[2] today and tomorrow. Not listed on the published agenda is glyphosate, but much of the conversation will be about the hotly disputed

Just occasionally someone asks if everything we believe about causation-related science is wrong. This time, the use of the t-test is a cause of doubt. In the interpretation of rat lab results, animal experimenters use the t-test. The t-test, when used as originally designed, compares

glyphosate meta-analysis and non-Hodgkin lymphoma glyphosate meta-analysis Does Glyphosate cause non-Hodgkin lymphoma (NHL)? Observing that different studies in herbicide application workers give very different results, the authors of a recent[1] meta-analysis have proposed a new appr

Tech Plus reminder robot toxicologist Data mining and machine learning look set to revolutionise knowledge management in routine business processes[1]. Can they be used to assist with the identification and evaluation of new liability risks? The Robotic Toxicologist report presents an

In these days of machine learning solutions for business optimisation, one key question is whether machines can usefully pick out emerging liability risks. The Robot Toxicologist The Robot Toxicologist The “Toxic Trio” as a case study Wouldn’t it be wonderful if a machine could read a

Vibration White Finger A modelling case study An epidemiology-based approach to liability ENID modelling has been developed and applied[1]. While based on the same concepts, in practice each scenario-specific ENID model is mathematically unique. This note describes the approach using

Processed meat and colorectal cancer claims – Yes, No, How Big? Summary It has been proposed that processed meat consumption causes colorectal cancer. Since there have been no UK insurance claims for this, and the proposal has not been put to proof at common law, it is described as a