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

A temperature- and impedance-aware LSTM-PINN framework for physically consistent battery SOH prediction

一种考虑温度和阻抗的LSTM-PINN框架,用于实现物理一致性的电池SOH预测

Kumar, Prajakth N; Upadhya, Praneeth R; Nischay, S; Pavan Kumar, G; T S, Shobana; K B, Rashmi

Genome-level selection in tumors as a universal marker of resistance to therapy

肿瘤基因组水平选择作为治疗耐药性的普遍标志

Persi, Erez; Sudalagunta, Praneeth R; Wolf, Yuri I; Canevarolo, Rafael R; Damaghi, Mehdi; Shain, Kenneth H; Silva, Ariosto S; Koonin, Eugene V

Computed Tomography Radiomics Features Predict Change in Lung Density and Rate of Emphysema Progression

计算机断层扫描放射组学特征预测肺密度变化和肺气肿进展速度

Saha, Pratim; Bodduluri, Sandeep; Nakhmani, Arie; Chaudhary, Muhammad F A; Amudala Puchakayala, Praneeth R; Sthanam, Venkata; San Jose Estepar, Raul; Reinhardt, Joseph M; Zhang, Chengcui; Bhatt, Surya P

Unc-51 Like Kinase 3 (ULK3) is essential for autophagy and cell survival in multiple myeloma.

Unc-51 样激酶 3 (ULK3) 对多发性骨髓瘤的自噬和细胞存活至关重要

Tauro Marilena, Li Tao, Sudalagunta Praneeth R, Meads Mark, Canevarolo Rafael Renatino, Nerlakanti Niveditha, Alugubelli Raghunandan R, Lawrence Harshani R, Gunawan Steven, Ayaz Mohammad, Nareddy Pradeep, Yun Sang Young, Shay Gemma, Yang Kathy, Tran Timothy H, Bishop Ryan T, Nasr Mostafa M, Lawrence Nicholas N J, Schönbrunn Ernst, Cleveland John L, Silva Ariosto S, Shain Kenneth H, Lynch Conor C

The bone ecosystem facilitates multiple myeloma relapse and the evolution of heterogeneous drug resistant disease

骨生态系统促进多发性骨髓瘤复发和异质性耐药性疾病的演变

Ryan T Bishop #, Anna K Miller #, Matthew Froid, Niveditha Nerlakanti, Tao Li, Jeremy S Frieling, Mostafa M Nasr, Karl J Nyman, Praneeth R Sudalagunta, Rafael R Canevarolo, Ariosto Siqueira Silva, Kenneth H Shain, Conor C Lynch #, David Basanta #

Combined MEK1/2 and ATR inhibition promotes myeloma cell death through a STAT3-dependent mechanism in vitro and in vivo

体外和体内实验均表明,MEK1/2 和 ATR 联合抑制可通过 STAT3 依赖性机制促进骨髓瘤细胞死亡。

Li, Lin; Hu, Xiaoyan; Nkwocha, Jewel; Kmieciak, Maciej; Meads, Mark B; Shain, Kenneth H; Alugubelli, Raghunandan R; Silva, Ariosto S; Mann, Hashim; Sudalagunta, Praneeth R; Canevarolo, Rafael R; Zhou, Liang; Grant, Steven

Mortality of COVID-19 in patients with hematological malignancies versus solid tumors: a systematic literature review and meta-analysis

血液系统恶性肿瘤患者与实体瘤患者COVID-19死亡率比较:系统性文献综述和荟萃分析

Hardy, Nicole; Vegivinti, Charan Thej Reddy; Mehta, Mansi; Thurnham, Jade; Mebane, Alexander; Pederson, John M; Tarchand, Ranita; Shivakumar, Jeevan; Olaniran, Peace; Gadodia, Ritika; Ganguly, Arup; Kelagere, Yashaswini; Nallabolu, Rashmika Reddy; Gaddam, Mrunanjali; Keesari, Praneeth R; Pulakurthi, Yashwitha Sai; Reddy, Rohit; Kallmes, Kevin; Musunuru, Tejo N

Cancer immune therapy using engineered ‛tail-flipping' nanoliposomes targeting alternatively activated macrophages

使用工程化的“翻尾”纳米脂质体靶向替代激活的巨噬细胞进行癌症免疫治疗

Praneeth R Kuninty #, Karin Binnemars-Postma #, Ahmed Jarray, Kunal P Pednekar, Marcel A Heinrich, Helen J Pijffers, Hetty Ten Hoopen, Gert Storm, Peter van Hoogevest, Wouter K den Otter, Jai Prakash

Efficacy of convalescent plasma therapy for COVID-19: A systematic review and meta-analysis

新冠肺炎康复者血浆疗法的疗效:系统评价和荟萃分析

Vegivinti, Charan T R; Pederson, John M; Saravu, Kavitha; Gupta, Nitin; Evanson, Kirk W; Kamrowski, Shelby; Schmidt, Megan; Barrett, Averi; Trent, Hannah; Dibas, Mahmoud; Reierson, Natalie L; Mikoff, Nick; Pisipati, Sailaja; Joseph, Betsy A; Selvan, Pragadeesh T; Dmytriw, Adam A; Pulakurthi, Yashwitha S; Keesari, Praneeth R; Sriram, Varsha; Chittajallu, Spandana; Brinjikji, Waleed; Katamreddy, Rewanth R; Chibbar, Richa; Davis, Amber R; Malpe, Manashree; Mishra, Hemant K; Kallmes, Kevin M; Hassan, Ameer E

Severity of Topiramate-Related Working Memory Impairment Is Modulated by Plasma Concentration and Working Memory Capacity

托吡酯相关工作记忆障碍的严重程度受血浆浓度和工作记忆容量的调节。

Callisto, Samuel P; Illamola, Sílvia M; Birnbaum, Angela K; Barkley, Christopher M; Bathena, Sai Praneeth R; Leppik, Ilo E; Marino, Susan E