Longglerup3039

Major histocompatibility complex (MHC) possesses important research value in the treatment of complex human diseases. A plethora of computational tools has been developed to predict MHC class I binders. Here, we comprehensively reviewed 27 up-to-date MHC I binding prediction tools developed over the last decade, thoroughly evaluating feature representation methods, prediction algorithms and model training strategies on a benchmark dataset from Immune Epitope Database. A common limitation was identified during the review that all existing tools can only handle a fixed peptide sequence length. To overcome this limitation, we developed a bilateral and variable long short-term memory (BVLSTM)-based approach, named BVLSTM-MHC. It is the first variable-length MHC class I binding predictor. In comparison to the 10 mainstream prediction tools on an independent validation dataset, BVLSTM-MHC achieved the best performance in six out of eight evaluated metrics. A web server based on the BVLSTM-MHC model was developed to enable accurate and efficient MHC class I binder prediction in human, mouse, macaque and chimpanzee.During the 1980s and 1990s, Edinburgh and the Lothians suffered significantly high rates of HIV infections, considered to be the result of a high proportion of intravenous drug users sharing injecting equipment. This young, sexually active cohort had the potential to pose a threat to the wider population via heterosexual spread, and hence measures were required to prevent, where possible, a second wave of the epidemic. A coalition of health professionals, local authority groups and voluntary organisations consequently acted by producing a series of health promotional campaigns, such as the 'Take Care' campaign, in order to promote healthy and safe sexual practice and to educate the community about the risks of HIV and AIDS. Many of the strategies utilised by Lothian public bodies were pioneering, using distinctive imagery and novel marketing techniques. Despite aiming these campaigns at the broader community however, campaigns spearheaded by health providers and local government often excluded certain high-risk populations, such as drug users and gay men, and subsequently these demographic groups had to turn to other services (in voluntary, non-governmental sectors) for health education and promotion.Geriatric medicine in Britain was born in the setting of a former poor law workhouse in London. Its early pioneers developed models of geriatric services and instigated research into the diseases pertinent to older people. DS-3201b Government initiatives championed the establishment of geriatric units but denied geriatric medicine the status of a clinical medical specialty. Despite an unfavourable image within the medical profession, medical services for older people flourished under the National Health Service to become one of the largest groups of medical specialties. The development of the specialty is traced from its origins in the care of chronically sick patients through to its greater involvement in the medical care of a wider spectrum of older people.COVID-19 has had a significant impact on internal medicine training in the UK. Many unprecedented changes have been made to prioritise the care of affected patients. The medical workforce was re-shaped, training programmes were disrupted, Membership of the Royal College of Physicians (MRCP) examinations were cancelled and their format changed on re-commencement, teaching programmes were suspended and delivery methods amended, out of programme (OOP) opportunities deferred, non-COVID related research halted, trainee progression impacted and trainee mental health and wellbeing suffered. Despite this, the pandemic has undoubtedly created a plethora of unique learning opportunities for trainees that could make them better doctors and healthcare leaders in the future.

This cross-sectional study was carried out to ascertain if first-time cadaver dissections can cause acute stress disorder (ASD) in medical students, and if death anxiety and gender play a role in the development of these symptoms.

A total of 135 first-year medical students at the Services Institute of Medical Sciences and King Edward Medical University, Lahore, Pakistan, who had recently conducted their first ever cadaver dissection filled out three scales the Impact of Event Scale-Revised (IES-R), the Appraisal of Life Scale (Revised) (ALS-R) and Death Anxiety Inventory. The results were then calculated via SPSS v.23. Any students with a history of psychiatric treatment or disorder were not included in the study.

Scores on the IES-R showed that the sample suffered from symptoms of ASD (mean = 36.15, standard deviation = 15.99). Multilinear regression showed that death anxiety did not predict any variance on the scores for IES-R, whereas higher scores on the ALS-R threat domain scale predicted higher scores on the IES-R. Death anxiety had little to no impact on the scores for IES-R.

Results showed that students who perceived the dissection situation as threatening and anxiety inducing were more likely to test positively for ASD symptoms. A major limitation of the study was that it did not measure whether these symptoms reduced with repeated exposure to cadaver dissection or how symptoms changed over time.

Results showed that students who perceived the dissection situation as threatening and anxiety inducing were more likely to test positively for ASD symptoms. A major limitation of the study was that it did not measure whether these symptoms reduced with repeated exposure to cadaver dissection or how symptoms changed over time.

Simulation via Instant Messaging - Birmingham Advance (SIMBA) aimed to improve clinicians' confidence in managing various clinical scenarios during the COVID-19 pandemic.

Five SIMBA sessions were conducted between May and August 2020. Each session included simulation of scenarios and interactive discussion. Participants' self-reported confidence, acceptance, and relevance of the simulated cases were measured.

Significant improvement was observed in participants' self-reported confidence (overall n = 204, p<0.001; adrenal n = 33, p<0.001; thyroid n = 37, p<0.001; pituitary n = 79, p<0.001; inflammatory bowel disease n = 17, p<0.001; acute medicine n = 38, p<0.001). Participants reported improvements in clinical competencies patient care 52.0% (n = 106/204), professionalism 30.9% (n = 63/204), knowledge on patient management 84.8% (n = 173/204), systems-based practice 48.0% (n = 98/204), practice-based learning 69.6% (n = 142/204) and communication skills 25.5% (n = 52/204).

SIMBA is a novel pedagogical virtual simulation-based learning model that improves clinicians' confidence in managing conditions across various specialties.