1. Nakayama M, Yagi R, Daigo K, Katsumata Y, Deo RC, MacRae CA, Goto S (corresponding author). Optimizing single-lead ECG axis for AI-based detection of myocardial diseases. npj Cardiovascular Health 3, 34 (2026). 10.1038/s44325-026-00134-5

2. Shinya Y, Hiraide T, Momoi M, Goto S, et al. Experimental pulmonary arterial hypertension in mice with a pathogenic SOX17 variant. Scientific Reports. 2026. (In Press)

3. Nakayama M, Yagi R, Katsumata Y, Oki M, Deo RC, MacRae CA, Goto S (corresponding author). Convolutional Neural Network Models Leverage Morphological Rather Than Temporal Features to Detect Myocardial Diseases From 12-Lead Electrocardiograms. Circulation: Arrhythmia and Electrophysiology. 2026;19(1):e014369. PMC12768457 10.1161/CIRCEP.125.014369

4. Oki M, Yamasawa D, Goto S, et al. Prediction of Functional Outcomes at Discharge Using Plasma Concentration of von Willebrand Factor Antigen at Admission in Hospitalized Patients with COVID-19. Annals of Vascular Diseases. 2026;19.

1. Nakayama M, Yagi R, Deo RC, MacRae CA, Goto S (corresponding author). Identifying optimal electrocardiogram lead combinations for artificial intelligence. European Heart Journal 46 (Supplement_1), ehaf784. 4392, 2025.

2. Nakayama M, Yagi R, Goto S (corresponding author). Deep learning applications in 12-lead electrocardiogram and echocardiogram. JMA Journal 8 (1), 102-112, 2025.

3. Shirakawa K, Sano M, Sakane I, et al., Goto S, et al. Interleukin-7 Receptor Activation in Interstitial Macrophages Promotes Lung Fibrosis through Spp1. American Journal of Respiratory Cell and Molecular Biology. 2025.

4. Goto S, Goto S. Physical and Mechanobiological Basis of Biological Functions of Platelets. Thrombosis and Haemostasis. 2025.

1. Yagi R, Mori Y, Goto S, Iwami T, Inoue K. Routine Electrocardiogram Screening and Cardiovascular Disease Events in Adults. JAMA Internal Medicine. 2024.

2. Yagi R, Goto S, Himeno Y, Katsumata Y, Hashimoto M, MacRae CA, Deo RC. Artificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms. Nature Communications 15 (1), 2536, 2024.

3. Nakayama M, Yagi R, Deo RC, MacRae CA, Goto S (corresponding author). Two Leads are All We Need: Optimizing Choice of Electrocardiogram Leads for Artificial Intelligence-based Detection of Left Ventricular Systolic Dysfunction. Circulation 150 (Suppl_1), A4130756, 2024.

4. Nakayama M, Goto S, Goto S. Development of the Integrated Computer Simulation Model of the Intracellular, Transmembrane, and Extracellular Domain of Platelet Integrin αIIbβ3. TH Open 8 (01), e96-e105, 2024.

1. Homilius M, Zhu W, Eddy SS, Thompson PC, Zheng H, Warren CN, et al., Goto S, et al. Perturbational phenotyping of human blood cells reveals genetically determined latent traits associated with subsets of common diseases. Nature Genetics 55, 2023.

2. Ichihara G, Katsumata Y, Sugiura Y, Matsuoka Y, Maeda R, Endo J, et al., Goto S, et al. MRP1-dependent extracellular release of glutathione induces cardiomyocyte ferroptosis after ischemia-reperfusion. Circulation Research 133 (10), 861-876, 2023.

3. Nakayama M, Goto S, Sakano T, Goto S. Detection of the relationship between the multi-dimensional data sets of serially measured blood pressure and the future risk of death in healthy elderly Japanese population. Journal of Atherosclerosis and Thrombosis 30 (8), 1002-1009, 2023.

1. Moriyama H, Endo J, Kataoka M, Shimanaka Y, Kono N, Sugiura Y, et al., Goto S, et al. Omega-3 fatty acid epoxides produced by PAF-AH2 in mast cells regulate pulmonary vascular remodeling. Nature Communications 13 (1), 1-13, 2022.

2. Gearhart A, Goto S, Deo RC, Powell AJ. An automated view classification model for pediatric echocardiography using artificial intelligence. Journal of the American Society of Echocardiography 35 (12), 1238-1246, 2022.

3. Nakayama M, Goto S, Goto S. Physical characteristics of von Willebrand factor binding with platelet glycoprotein Ibɑ mutants at residue 233 causing various biological functions. TH Open 6 (04), e421-e428, 2022.

4. Nakayama M, Goto S, Goto S. Effects of caplacizumab, a specific inhibitor of the A1 domain of von Willebrand factor binding with platelet membrane glycoprotein (GP) Ibα, on the length of platelet adhesion. Journal of Biorheology 36 (2), 68-75, 2022.

1. Goto S, Mahara K, Beussink-Nelson L, Ikura H, Katsumata Y, Endo J, et al. Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms. Nature Communications 12 (1), 1-12, 2021.

2. Goto S, Solanki D, John JE, Yagi R, Homilius M, Ichihara G, et al. Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection. Circulation, CIRCULATIONAHA.121.058696, 2021.

3. Kitakata H, Endo J, Hashimoto S, Mizuno E, Moriyama H, Shirakawa K, et al., Goto S, et al. Imeglimin prevents heart failure with preserved ejection fraction by recovering the impaired unfolded protein response in mice subjected to cardiometabolic stress. Biochemical and Biophysical Research Communications, 2021.

4. Nakayama M, Yabushita H, Nakamura S, Oka H, Goto S, Goto S. Development of novel artificial intelligence to detect the presence of clinically meaningful coronary atherosclerotic stenosis in major branch from coronary angiography video. Journal of Atherosclerosis and Thrombosis 28 (8), 835-843, 2021.

1. Hiraide T, Kataoka M, Suzuki H, Aimi Y, Chiba T, Isobe S, et al., Goto S, et al. Poor outcomes in carriers of the RNF213 variant (p. Arg4810Lys) with pulmonary arterial hypertension. The Journal of Heart and Lung Transplantation 39 (2), 103-112, 2020.

1. Sano M, Goto S. Possible mechanism of hematocrit elevation by sodium glucose cotransporter 2 inhibitors and associated beneficial renal and cardiovascular effects. Circulation 139 (17), 1985-1987, 2019.

2. Goto S, Kimura M, Katsumata Y, Goto S, Kamatani T, Ichihara G, Ko S, et al. Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients. PLoS One 14 (1), e0210103, 2019.

3. Goto S, Angchaisuksiri P, Bassand JP, Camm AJ, Dominguez H, et al. Management and 1‐year outcomes of patients with newly diagnosed atrial fibrillation and chronic kidney disease: results from the prospective GARFIELD‐AF registry. Journal of the American Heart Association 8 (3), e010510, 2019.

4. Nakayama M, Oka H, Ayabe K, Yabushita H, Goto S, Goto S, Hasebe T, Yokota H, et al. Prediction of binding characteristics between von Willebrand factor and platelet glycoprotein Ibα with various mutations by molecular dynamic simulation. Thrombosis Research 184, 129-135, 2019.

5. Ayabe K, Goto S, Oka H, Yabushita H, Nakayama M, Tomita A, Hasebe T, et al. Potential different impact of inhibition of thrombin function and thrombin generation rate for the growth of thrombi formed at site of endothelial injury under blood flow condition. Thrombosis Research 179, 121-127, 2019.

6. Goto S, Goto S, Pieper KS, Bassand JP, Camm AJ, Fitzmaurice DA, et al. New artificial intelligence prediction model using serial prothrombin time international normalized ratio measurements in atrial fibrillation patients on vitamin K antagonists. European Heart Journal-Cardiovascular Pharmacotherapy, 2019.

1. Shirakawa K, Endo J, Kataoka M, Katsumata Y, Yoshida N, Yamamoto T, et al., Goto S, et al. IL (interleukin)-10–STAT3–galectin-3 axis is essential for osteopontin-producing reparative macrophage polarization after myocardial infarction. Circulation 138 (18), 2021-2035, 2018.

2. Yamamoto T, Endo J, Kataoka M, Matsuhashi T, Katsumata Y, et al., Goto S, et al. Decrease in membrane phospholipids unsaturation correlates with myocardial diastolic dysfunction. PLoS One 13 (12), e0208396, 2018.