日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

In silico perturbations provide multivariate interpretability in predicting post-lung transplant outcomes

计算机模拟扰动为预测肺移植术后结果提供了多变量可解释性。

Luo, Lucy; Możejko, Marcin; Markov, Nikolay S; Peltekian, Alec; Mohsin, Suror; Carn, Mary; Cooper, Phillip; Lysne, Jeffrey; Joudi, Anthony; Betensley, Alan; Bemiss, Bradford C; Myers, Catherine; Bharat, Ankit; Tomic, Rade; Arunachalam, Ambalavanan; Szczurek, Ewa; Budinger, G R Scott; Misharin, Alexander V; Subramani, Mrinalini Venkata

Developing and externally validating machine learning models to forecast short-term risk of ventilator-associated pneumonia

开发并进行外部验证的机器学习模型,用于预测呼吸机相关性肺炎的短期风险

Peltekian, Alec K; Liao, Wan-Ting; Guggilla, Vijeeth; Markov, Nikolay; Senkow, Karolina; Liao, Zewei; Kang, Marjorie; Rasmussen, Luke; Tavernier, Elsa; Ehrmann, Stephan; Clepp, Rebecca K; Stoeger, Thomas; Walunas, Theresa; Choudhary, Alok; Misharin, Alexander V; Singer, Benjamin D; Budinger, Gr Scott; Wunderink, Richard G; Gao, Catherine A; Agrawal, Ankit

Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired Pneumonia

开发用于预测社区获得性肺炎危重患者短期治疗成功率的试点机器学习模型

Zhu, Mengou; Liao, Wan-Ting; Peltekian, Alec; Markov, Nikolay S; Kang, Mengjia; Rasmussen, Luke V; Pickens, Chiagozie I; Stoeger, Thomas; Walunas, Theresa L; Misharin, Alexander V; Singer, Benjamin D; Budinger, G R Scott; Wunderink, Richard G; Agrawal, Ankit; Gao, Catherine A

Developing and validating machine learning models to predict next-day extubation

开发和验证机器学习模型以预测次日拔管情况

Fenske, Samuel W; Peltekian, Alec; Kang, Mengjia; Markov, Nikolay S; Zhu, Mengou; Grudzinski, Kevin; Bak, Melissa J; Pawlowski, Anna; Gupta, Vishu; Mao, Yuwei; Bratchikov, Stanislav; Stoeger, Thomas; Rasmussen, Luke V; Choudhary, Alok N; Misharin, Alexander V; Singer, Benjamin D; Budinger, G R Scott; Wunderink, Richard G; Agrawal, Ankit; Gao, Catherine A

Development of a pilot machine learning model to predict successful cure in critically ill patients with community-acquired pneumonia

开发一种用于预测社区获得性肺炎危重患者治愈成功的机器学习模型

Zhu, Mengou; Liao, Wan-Ting; Peltekian, Alec; Markov, Nikolay S; Kang, Mengjia; Rasmussen, Luke V; Stoeger, Thomas; Walunas, Theresa L; Misharin, Alexander V; Singer, Benjamin D; Budinger, G R Scott; Wunderink, Richard G; Agrawal, Ankit; Gao, Catherine A

Generative AI and unstructured audio data for precision public health

生成式人工智能和非结构化音频数据在精准公共卫生中的应用

Anibal, James; Landa, Adam; Nguyen, Hang; Daoud, Veronica; Le, Tram; Huth, Hannah; Song, Miranda; Peltekian, Alec; Shin, Ashley; Hazen, Lindsey; Christou, Anna; Rivera, Jocelyne; Morhard, Robert; Brenner, Jacqueline; Bagci, Ulas; Li, Ming; Bensoussan, Yael; Clifton, David; Wood, Bradford

Machine Learning Analysis of Electronic Health Records Identifies Interstitial Lung Disease and Predicts Mortality in Patients with Systemic Sclerosis

利用机器学习分析电子健康记录,识别间质性肺病并预测系统性硬化症患者的死亡率

Peltekian, Alec K; Grudzinski, Kevin M; Bemiss, Bradford C; Dematte, Jane E; Richardson, Carrie; Markov, Nikolay S; Carns, Mary; Aren, Kathleen; Field, Natania S; Zhu, Mengou; Soriano, Alexandra; Dapas, Matthew; Perlman, Harris; Gundersheimer, Aaron; Selvan, Kavitha C; Moore, Duncan F; Rasmussen, Luke V; Varga, John; Hinchcliff, Monique; Warrior, Krishnan; Gao, Catherine A; Wunderink, Richard G; Budinger, Gr Scott; Choudhary, Alok; Misharin, Alexander V; Agrawal, Ankit; Esposito, Anthony J

Profibrotic monocyte-derived alveolar macrophages as a biomarker and therapeutic target in systemic sclerosis-associated interstitial lung disease.

促纤维化单核细胞衍生的肺泡巨噬细胞作为系统性硬化症相关间质性肺病的生物标志物和治疗靶点

Markov Nikolay S, Esposito Anthony J, Senkow Karolina J, Schleck Maxwell, Cusick Luisa, Yu Zhan, Sokolenko Yuliana V, Diaz Estefani, Jonasson Emmy, Swaminathan Suchitra, Lu Ziyan, Nafikova Radmila, Fenske Samuel, Bunyan Elsie G, Pérez-Leonor Xóchitl G, Abdala-Valencia Hiam, Flozak Annette S, Joshi Nikita, Argento A Christine, Malsin Elizabeth S, Reyfman Paul A, Puchalski Jonathan, Gulati Mridu, Carns Mary, Aren Kathleen, Cooper Phillip, Field Natania S, Mohsin Suror, Shawabkeh Malek, Soriano Alexandra, Gundersheimer Aaron N, Goldberg Isaac A, Damore Bailey, Peltekian Alec, Agrawal Ankit, Cheung Crystal, Perez Stephanie, Teaw Shannon, Williams Alyssa, Page Nicolas, Kujawski Sophia E, Odell William, Gunes Baran Ilayda, Cheng Michelle, Emokpae Morgan, Cumming R Ian, Tighe Robert M, Grudzinski Kevin, Savas Hatice, Rubinowitz Ami N, Kadhim Bashar A, Kurihara Chitaru, Bharat Ankit, Mehta Vikas, Dematte Jane E, Bemiss Bradford C, Makinde Hadijat M, Cuda Carla M, Dapas Matthew, Richardson Carrie, Perlman Harris, Lam Anna P, Gottardi Cara J, Budinger G R Scott, Misharin Alexander V, Hinchcliff Monique E

Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks

在材料性能预测任务中,在参数约束条件下同时提高精度和降低计算成本

Gupta, Vishu; Li, Youjia; Peltekian, Alec; Kilic, Muhammed Nur Talha; Liao, Wei-Keng; Choudhary, Alok; Agrawal, Ankit

Omicron detection with large language models and YouTube audio data

利用大型语言模型和 YouTube 音频数据进行 Omicron 检测

Anibal, James T; Landa, Adam J; Hang, Nguyen T T; Song, Miranda J; Peltekian, Alec K; Shin, Ashley; Huth, Hannah B; Hazen, Lindsey A; Christou, Anna S; Rivera, Jocelyne; Morhard, Robert A; Bagci, Ulas; Li, Ming; Bensoussan, Yael; Clifton, David A; Wood, Bradford J