Biomarkers.

Background: Recent developments in physiological and digital biomarkers provide an opportunity to shift the first diagnostic steps to the home-setting, thus allowing earlier detection and treatment of Alzheimer's disease (AD). Blood-based, magnetic resonance imaging, electrophysiological, digital and microbiome biomarkers have shown great promise and call for an evaluation of their accuracy, feasibility and safety in primary care and the community. The aim of PREDICTOM is to develop and test the accuracy of an artificial intelligence (AI) driven screening platform for the prediction and early detection of AD and to extend the clinical pathway to home-based screening using established and novel biomarkers.

Inequalities in cancer two-week-wait referrals: a cross-sectional study in English general practice.

Background: Practices with higher two-week-wait (2WW) referral-rates demonstrate higher survival for several cancers. Yet, there is little up-to-date evidence exploring factors influencing 2WW-referral-rates and whether health inequalities exist, particularly after COVID-19.

Aim: To establish which patient-factors (eg, age, sex, ethnicity, deprivation) and practice-factors (eg, remote consultations, frequency of seeing a preferred-GP) independently predict 2WW-referral-rates.

Patient-oriented unsupervised learning to uncover the patterns of multimorbidity associated with stroke using primary care electronic health records.

Background: We aimed to identify and characterise the longitudinal patterns of multimorbidity associated with stroke.

Methods: We used an unsupervised patient-oriented clustering approach to analyse primary care electronic health records (EHR) of 30 common long-term conditions (LTC) in patients with stroke aged over 18, registered in 41 general practices in south London between 2005 and 2021.

Results: Of 849,968 registered patients, 9,847 (1.

Intensive cropping influences the success of seed dormancy breaking methods in Australian collected Hordeum, Avena, and Bromus sp.

Background: Seed dormancy is a critical evolutionary trait that enhances the persistence of plant populations under both natural and managed conditions. It is influenced by genetic and environmental factors, with crop management practices like tillage and herbicide use reportedly selecting for increased seed dormancy in weeds. This study aimed to compare the success of seed dormancy breaking methods between weed populations collected from intensively managed crop fields and unmanaged ruderal locations.

The impact of living with multiple long-term conditions (multimorbidity) on everyday life - a qualitative evidence synthesis.

Background: Multiple long-term conditions (MLTCs), living with two or more long-term conditions (LTCs), often termed multimorbidity, has a high and increasing prevalence globally with earlier age of onset in people living in deprived communities. A holistic understanding of the patient's perspective of the work associated with living with MLTCs is needed. This study aimed to synthesise qualitative evidence describing the experiences of people living with MLTCs (multimorbidity) and to develop a greater understanding of the effect on people's lives and ways in which living with MLTCs is 'burdensome' for people.