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Dec 4, 2024 | 
medium.com | Geoff Parker
RULKING … it means partially running and partially walking … my word for this activity
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Aug 31, 2024 | 
brixtonbuzz.com | Geoff Parker
Alyson Wilson of the Clapham Society will lead a walk of Clapham Ghost Signs this Sunday, 1st September. Originally devised by Sam Roberts (aka Mr Ghost Signs), the walk traces Clapham’s history through its wonderful collection of fading painted advertisements. These can be seen in varying states of decay all the way up the High Street to Old Town and Clapham Common South Side.
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Aug 16, 2024 | 
labcompare.com | Geoff Parker |Lead Consultant
By Geoff Parker, Co-Founder and Lead Consultant, ScimconScience is constantly evolving, meaning laboratories must be able to keep pace and effectively adapt to change. While laboratories have undergone change throughout history, modern laboratory managers are facing a new wave of challenges in the digital age, and must now consider investing in more advanced informatics systems, as well as harnessing the power of digital transformation, artificial intelligence (AI) and machine learning (ML).
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Feb 26, 2024 | 00036-6/abstract?rss=yes&sz=64)
thelancet.com | Frederik Barkhof |Biomedical Engineering |Geoff Parker
The diagnosis and management of patients with brain tumours such as glioma relies heavily on the use of MRI. Patients with brain tumours typically undergo multiple MRI scans for diagnosis, surgical planning, and monitoring of chemotherapy or radiotherapy.
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Nov 6, 2023 | 
foodanddrinkbusiness.com.au | Geoff Parker
Across the drinks industry we’ve seen a range of innovative new products coming to market, and some new drink trends emerging. The rise of low and no sugar options continues at pace, with unsweetened waters driving a lot of that growth and all drinks today are packaged in wonderfully recyclable containers, with a rising number containing recycled content.
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Aug 7, 2023 | 
mlo-online.com | Geoff Parker
Are machine learning models built on healthcare data reliable at predicting opioid use disorder? That’s what researchers from Florida Atlantic University’s College of Engineering and Computer Science wanted to explore. As such, they examined peer-reviewed journal papers and conducted one of the first systematic reviews analyzing not only the technical aspects of machine learning applied to predicting opioid use, but also the published results.
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Aug 7, 2023 | 
mlo-online.com | Geoff Parker
A growing body of evidence suggests extra virgin olive oil can help prevent cognitive decline due to Alzheimer's disease. In a new study, Yale School of Medicine researchers led by Natalie Neumann, MD, trained a machine learning algorithm on current experimental Alzheimer's drugs, then used it to identify the 10 phytochemicals in EVOO with the greatest chance of being active against Alzheimer's disease.
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Aug 4, 2023 | 
mlo-online.com | Geoff Parker
Monash University researchers have recently developed a co-training AI algorithm for medical imaging, aimed at emulating the process of seeking a second opinion. This advancement, published in Nature Machine Intelligence, addresses the scarcity of human annotated medical images by utilizing an innovative adversarial learning approach with unlabelled data. The research involved creating a "dual-view" AI system where two components compete in a unique manner.
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Jul 27, 2023 | 
mlo-online.com | Geoff Parker
Prevencio, Inc. announced the culminative presentation of patient data demonstrating that its Artificial Intelligence (AI)-driven HART blood tests are highly accurate in a broad range of patients, including those suffering from diabetes, chronic kidney disease, hypertension, obesity, coronary heart disease, heart failure, chronic total occlusion (CTO) of the heart arteries, and Kawasaki disease. The HART platform is disease agnostic and may be used to develop diagnostics beyond cardiac disease.
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Jul 25, 2023 | 
mlo-online.com | Geoff Parker
A new artificial intelligence model can predict people’s risk of multiple sclerosis years before diagnosis, potentially enabling quicker treatment, according to research revealed at the 2023 AACC Annual Scientific Meeting & Clinical Lab Expo. Another study demonstrates how machine learning can help detect lab samples contaminated with intravenous fluids—a finding that could reduce lab errors that delay diagnosis and raise healthcare costs.
