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The Single English County Saying No to Palantir

WIRED

The UK government is facing calls to cancel a sprawling health care contract with Palantir. The region of Greater Manchester insists it can do a better job itself. The UK government has six months to decide whether to terminate a deal worth more than $400 million between the country's National Health Service and American software company Palantir . If one part of the NHS is already doing without Palantir, politicians are asking, why can't the rest of the country? In 2023, the UK commissioned Palantir to develop a " federated data platform " (FDP) that could ingest and organize the tangle of health data produced across the country.


How a 90-second power outage sparked chaos for rail commuters

BBC News

The power failure which hit a Network Rail operations centre in Manchester was a rare incident. But after commuters were left facing chaos, it has raised questions about how a short outage at one operating centre could have a widespread impact. Network Rail will face scrutiny for how its systems coped and responded to the outage. That's the publicly-owned body whose job it is to operate and maintain Britain's railway infrastructure. That means the tracks, signals, embankments and major stations.


PM to spend first day working from northern branch of No 10

BBC News

Andy Burnham is set to spend his first day working at the northern branch of Downing Street. No 10 North in Manchester will form part of the prime minister's aim to shift power from Whitehall and Westminster to regions across the country. Ministers Lucy Powell and Louise Haigh will also operate regularly from the new site, with up to 300 civil servants expected to join them by the end of next year. On Friday in Manchester Burnham will chair a meeting of the National Economic Council, a cabinet committee first launched in 2008 to respond to economic challenges around the UK. Ahead of that meeting, the PM said: For 40 years, power and resources have been sucked into the centre, and too many communities have felt forgotten, without the attention and investment they deserve.


5 Key Moments From Andy Burnham's First Day as U.K. Prime Minister, Including His Invite to President Trump

TIME - Tech

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Andy Burnham Calls for 'New Politics' in U.K. in First Speech as Labour Leader

TIME - Tech

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Introducing 'No. 10 North': U.K.'s Likely Next Prime Minister Andy Burnham Lays Out Devolution Plans

TIME - Tech

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Labour pick Angeliki Stogia for Gorton by-election

BBC News

Angeliki Stogia has been selected as the Labour Party candidate for the upcoming Gorton and Denton by-election. The Manchester councillor was chosen to represent the party after Greater Manchester mayor Andy Burnham was denied permission to enter the contest a week ago. The by-election on 26 February in the Greater Manchester constituency was prompted by the resignation of former MP Andrew Gwynne on health grounds. Stogia said she was thrilled and excited as a proud Mancunian woman to start campaigning in the constituency. She said she was so looking forward to going out on the doorstep and winning this for Labour.


'I spoke to ChatGPT 8 times a day' - Gen Z's loneliness 'crisis'

BBC News

'I spoke to ChatGPT 8 times a day' - Gen Z's loneliness'crisis' Working from home after years spent alone over Covid lockdowns, 23-year-old Paisley said he began to feel trapped, and felt only AI could help him. I lost the ability to socialise, he said, and like many in Gen Z, he turned to AI for company. At one point, I was talking to ChatGPT six, seven, eight times a day about my problems, I just couldn't get away from it, it was a dangerous slope. He shared his experience of loneliness with 22-year-old documentary maker Sam Tullen, who told the BBC what Paisley was going through was part of a wider Gen Z loneliness crisis. Gen Z, a term used for those born between 1997 and 2012, often referred to as the first'digital native' generation.


Will Large Language Models Transform Clinical Prediction?

arXiv.org Artificial Intelligence

Objective: Large language models (LLMs) are attracting increasing interest in healthcare. This commentary evaluates the potential of LLMs to improve clinical prediction models (CPMs) for diagnostic and prognostic tasks, with a focus on their ability to process longitudinal electronic health record (EHR) data. Findings: LLMs show promise in handling multimodal and longitudinal EHR data and can support multi-outcome predictions for diverse health conditions. However, methodological, validation, infrastructural, and regulatory chal- lenges remain. These include inadequate methods for time-to-event modelling, poor calibration of predictions, limited external validation, and bias affecting underrepresented groups. High infrastructure costs and the absence of clear regulatory frameworks further prevent adoption. Implications: Further work and interdisciplinary collaboration are needed to support equitable and effective integra- tion into the clinical prediction. Developing temporally aware, fair, and explainable models should be a priority focus for transforming clinical prediction workflow.


Towards Gaussian processes modelling to study the late effects of radiotherapy in children and young adults with brain tumours

arXiv.org Artificial Intelligence

Survivors of childhood cancer need lifelong monitoring for side effects from radiotherapy. However, longitudinal data from routine monitoring is often infrequently and irregularly sampled, and subject to inaccuracies. Due to this, measurements are often studied in isolation, or simple relationships (e.g., linear) are used to impute missing timepoints. In this study, we investigated the potential role of Gaussian Processes (GP) modelling to make population-based and individual predictions, using insulin-like growth factor 1 (IGF-1) measurements as a test case. With training data of 23 patients with a median (range) of 4 (1-16) timepoints we identified a trend within the range of literature reported values. In addition, with 8 test cases, individual predictions were made with an average root mean squared error of 31.9 (10.1 - 62.3) ng/ml and 27.4 (0.02 - 66.1) ng/ml for two approaches. GP modelling may overcome limitations of routine longitudinal data and facilitate analysis of late effects of radiotherapy.