Machine Learning-Driven Risk Prediction Model in Transthyretin Amyloid Cardiomyopathy

Hypertension

The Pediatric Pulmonary Hypertension International Risk Score: A Prediction Model for Outcomes Using Machine Learning

Circulation

Griffiths M, Chinni BK, Lokhorst C, Douwes JM, Sleeper LA, Tingo J, Abman SH, Rosenzweig EB, Schramm JE, Austin ED, Mullen MP, Torrent-Vernetta A, Labrandero C, Benza R, Jesus Del Cerro M, Berger RMF, Manlhiot C, Everett AD

doi: 10.1161/CIRCULATIONAHA.125.077391

Heart Failure

Risk prediction models for incident heart failure: a systematic review and meta-analysis

Heart

Navarro JM, Doumouras BS, Douglas W, Tieu P, Chan V, Lau THA, Bobrowski D, Yu C, Wang CN, Adam M, Lee JG, Ho JE, Levy D, Abdel-Qadir H, Ross H, Foroutan F

doi: 10.1136/heartjnl-2025-327118

Further Publications

Prognostic Thresholds of Tricuspid Regurgitation in Transthyretin Amyloid Cardiomyopathy

JAMA Cardiol

Hauptmann L, Schwarting SK, Tomasoni D, Zanders L, Kronberger C, Koschatko S, Autherith M, Singer K, Jantsch C, Heitzinger G, Demirel C, Duca F, Kammerlander A, Bordignon L, Guidi Colombi G, Schwegel N, Serenelli M, Porcari A, Kieviet LC, Verheyen N, Oerlemans MIFJ, Papathanasiou M, Hengstenberg C, Sinagra G, Hausleiter J, Adamo M, Bartko PE, Nitsche C

doi: 10.1001/jamacardio.2026.3803

Thrombosis and Stroke

Machine Learning-Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG

J Am Heart Assoc

Pei Y, Zhang G, Li W, Feng Y, Li N, Zhao N, Ma Y, Liu X, Zhou Q, Xu F, Zhou Y, Li S

doi: 10.1161/JAHA.125.043567

Heart Failure

CONFIDENT-HFpEF: A Machine Learning-Based Risk Stratification for Mortality and Hospitalization Using Multimodal Real-World Data

ESC Heart Fail

Fudim M, Van Empel V, Zehnder T, Sauty B, Esposito C, Balazard F, Mayer I, Hallal M, Loiseau N, Weerts J, Patel M, Balu S, Hintze B, Torres F, Micsinai M, Rigolli M, Kessler P, Touzot M, Lund LH, Pradhan A, Butler J

doi: 10.1093/eschf/xvag097

Cardiovascular Risk and DiseasesHeart, Artery and Coronary Diseases

Toward a Deeper Understanding of Predicting Risk of Cardiovascular Disease Events for 10-Year Atherosclerotic Cardiovascular Risk: Subgroup Fairness and Predictive Value of Social Determinants of Health

J Am Heart Assoc

Wang H, Tian Z, Bhattacharya R, Niu M, Sang Y, Wojdyla DM, Hong H, Zhao J, Pignone M, Hall JL, Khan SS, Engelhard M, Pencina MJ, Hong C

doi: 10.1161/JAHA.125.046186

Further Publications

Long-Term Durability of Acoramidis Efficacy in Transthyretin Amyloid Cardiomyopathy: Open-Label Extension of the ATTRibute-CM Randomized Clinical Trial

JAMA Cardiol

Soman P, Cuddy SAM, Gillmore JD, Sarswat N, Judge DP, Cappelli F, Stern LK, Wright R, Akinboboye O, Obici L, Bhatt K, Xiong K, Castaño A, Chen C, Falvey H, Pecoraro ML, Tamby JF, Sinha U, Fox JC, Shah K, Grodin JL, Ambardekar AV, Alexander KM, Khouri MG, Cheng RK

doi: 10.1001/jamacardio.2026.0819

Cardiovascular Risk and DiseasesHeart Failure

Prediction of incident heart failure in established atherosclerotic cardiovascular disease: the SMART2-HF model

Eur Heart J

Reitsma TH, Lim CE, Gynnild MN, Kaptoge S, Lõo L, Holtrop J, Kuźma Ł, Pennells L, Conrad N, Ueda P, Jernberg T, Kurasz A, Keene SJ, Chilala C, Deo SV, Tillmann T, Khunti K, Piepoli M, Rossello X, Savarese G, Dalen H, Steg PG, Wood AM, Lees JS, Kavousi M, McEvoy JW, de Boer RA, Andersson C, Bhatt DL, Visseren FLJ, Dorresteijn JAN, Koudstaal S, Di Angelantonio E, Hageman SHJ, UCC-SMART study group, ESC Cardiovascular Risk Collaboration

doi: 10.1093/eurheartj/ehag153

Cardiovascular Risk and Diseases

Development and external validation of the SCORE2 models in Latin America and the Caribbean (SCORE2-LAC) to estimate 10-year cardiovascular disease risk

Eur Heart J

Bijkerk S, Ponte-Negretti CI, Maung KK, Friedrichs LG, Alegre-Díaz J, Anderson SG, Bambs C, Barreto ML, Bernabe-Ortiz A, Blankenberg S, Cabrera-Villamizar A, Carrillo-Larco RM, Castro-de-Araujo LFS, Checkley W, Cortés S, Dorresteijn JAN, Espeche WG, Ferreccio C, C de Macêdo PF, Franco OH, Gimenez S, Grazioli GC, Howitt C, Irazola VE, Kaptoge S, Kuri-Morales P, Lanas F, Layerle B, Lopez-Lopez JP, Lorenz T, Lotufo PA, Marco C, Miranda JJ, Nazzal C, Ortellado J, Pescarini JM, Peverelli F, Pomi A, Ritt LE, Rodríguez-Ariza CD, Salazar M, Sánchez-Vallejo CA, Seron P, de Souza Santos I, Tapia-Conyer R, Zitko P, Di Angelantonio E, Marques-Vidal PM, Abreu AM, Visseren FLJ, Hageman SHJ, European Society of Cardiology and European Association of Preventive Cardiology Cardiovascular Risk Collaboration (ESC CRC), Interamerican Society of Cardiology (SIAC)

doi: 10.1093/eurheartj/ehag698

Related content

The Pediatric Pulmonary Hypertension International Risk Score: A Prediction Model for Outcomes Using Machine Learning

Risk prediction models for incident heart failure: a systematic review and meta-analysis

Prognostic Thresholds of Tricuspid Regurgitation in Transthyretin Amyloid Cardiomyopathy

Machine Learning-Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG

CONFIDENT-HFpEF: A Machine Learning-Based Risk Stratification for Mortality and Hospitalization Using Multimodal Real-World Data

Toward a Deeper Understanding of Predicting Risk of Cardiovascular Disease Events for 10-Year Atherosclerotic Cardiovascular Risk: Subgroup Fairness and Predictive Value of Social Determinants of Health

Long-Term Durability of Acoramidis Efficacy in Transthyretin Amyloid Cardiomyopathy: Open-Label Extension of the ATTRibute-CM Randomized Clinical Trial

Prediction of incident heart failure in established atherosclerotic cardiovascular disease: the SMART2-HF model

Development and external validation of the SCORE2 models in Latin America and the Caribbean (SCORE2-LAC) to estimate 10-year cardiovascular disease risk