Predicting atrial fibrillation in primary care using machine learning by Hill, NR, Ayoubkhani, D, McEwan, P, Sugrue, DM, Farooqui, U, Lister, S, Lumley, M, Bakhai, A, Cohen, AT, O'Neill, M, Clifton, D, Gordon, J

Using machine learning to predict anticoagulation control in atrial fibrillation: a UK Clinical Practice Research Datalink study by Gordon, J, Norman, M, Hurst, M, Mason, T, Dickerson, C, Sandler, B, Pollock, KG, Farooqui, U, Groves, L, Tsang, C, Clifton, D, Bakhai, A, Hill, NR

Aryl hydrocarbon receptor interacting protein maintains germinal center B cells through suppression of BCL6 degradation by Sun, D, Stopka-Farooqui, U, Barry, S, Aksoy, E, Parsonage, G, Vossenkämper, A, Capasso, M, Wan, X, Norris, S, Marshall, JL, Clear, A, Gribben, J, Macdonald, TT, Buckley, CD, Korbonits, M, Haworth, O

Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers by Pollock, KG, Dickerson, C, Kainth, M, Lawton, S, Hurst, M, Sugrue, DM, Arden, C, Davies, DW, Martin, A-C, Sandler, B, Gordon, J, Farooqui, U, Clifton, D, Mallen, C, Rogers, J, Hill, NR, Camm, AJ, Cohen, AT

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a scre... by Hill, NR, Groves, L, Dickerson, C, Boyce, R, Lawton, S, Hurst, M, Pollock, KG, Sugrue, DM, Lister, S, Arden, C, Davies, DW, Martin, A-C, Sandler, B, Gordon, J, Farooqui, U, Clifton, D, Mallen, C, Rogers, J, Camm, AJ, Cohen, AT

Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized co... by Hill, NR, Groves, L, Dickerson, C, Ochs, A, Pang, D, Lawton, S, Hurst, M, Pollock, KG, Sugrue, DM, Tsang, C, Arden, C, Wyn Davies, D, Martin, AC, Sandler, B, Gordon, J, Farooqui, U, Clifton, D, Mallen, C, Rogers, J, Camm, AJ, Cohen, AT

Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised con... by Hill, NR, Arden, C, Beresford-Hulme, L, Camm, AJ, Clifton, D, Davies, DW, Farooqui, U, Gordon, J, Groves, L, Hurst, M, Lawton, S, Lister, S, Mallen, C, Martin, A-C, McEwan, P, Pollock, KG, Rogers, J, Sandler, B, Sugrue, DM, Cohen, AT