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

Detecting the metabolic transition to personalize nutritional timing: model development and preliminary validation in a large ICU cohort

检测代谢转变以实现个性化营养供给时机：大型ICU队列的模型开发和初步验证

期刊:Critical Care
影响因子:9.3
doi:10.1186/s13054-026-05874-5
Gargi, Yonatan; Levran, Neriya; Vine, Jacob; Cohen, Amir; Weiner, Dana; Stein, Dorit; Levi, Ori; Cohen, Dor; Klein, Julia; Taube, Hamutal S; Glebov, Maxim; Lazebnik, Teddy; Saban, Mor; Efrat, Shaked; Drori, Elad; Haviv, Yael; Segal, Eran
代谢
发表日期：2026
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A time-series clustering analysis of postinduction blood pressure trajectories

诱导后血压轨迹的时间序列聚类分析

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-33740-x
Glebov, Maxim; Katsin, Maksim; Berkenstadt, Haim; Orkin, Dina; Portnoy, Yotam; Schuchami, Adi; Lazebnik, Teddy
发表日期：2026
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Knowledge integration for physics-informed symbolic regression using pre-trained large language models

利用预训练的大型语言模型进行物理信息符号回归的知识集成

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-026-35327-6
Taskin, Bilge; Xie, Wenxiong; Lazebnik, Teddy
发表日期：2026
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Novel Objective Tool to Assess Tremor Reveals Unilateral Focused Ultrasound Improves Tremor Bilaterally

一种用于评估震颤的新型客观工具显示，单侧聚焦超声可改善双侧震颤

期刊:Neurology and Therapy
影响因子:4.8
doi:10.1007/s40120-024-00705-7
Aharonson, Vered; Lazebnik, Teddy; Sinai, Alon; Nassar, Maria; Senderova, Inna; Constantinescu, Marius; Tov, Lior Lev; Schlesinger, Ilana
发表日期：2025
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Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models

基于可解释机器学习模型的全球雷击引发野火预测和气候变化预测

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-92171-w
Shmuel, Assaf; Lazebnik, Teddy; Glickman, Oren; Heifetz, Eyal; Price, Colin
发表日期：2025
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A Machine Learning-Based Guide for Repeated Laboratory Testing in Pediatric Emergency Departments

基于机器学习的儿科急诊科重复实验室检测指南

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics15151885
Shuchami, Adi; Lazebnik, Teddy; Ashkenazi, Shai; Cohen, Avner Herman; Reichenberg, Yael; Shkalim Zemer, Vered
发表日期：2025
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A blood test-based machine learning model for predicting lung cancer risk

一种基于血液检测的机器学习模型，用于预测肺癌风险

期刊:Frontiers in Medicine
影响因子:3
doi:10.3389/fmed.2025.1577451
Schwartz, Lihi; Matania, Naor; Levi, Matanel; Lazebnik, Teddy; Kushnir, Shiri; Yosef, Noga; Hoogi, Assaf; Shlomi, Dekel
肺癌
肿瘤
肿瘤免疫
发表日期：2025
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Correction: A blood test-based machine learning model for predicting lung cancer risk

更正：基于血液检测的机器学习模型用于预测肺癌风险

期刊:Frontiers in Medicine
影响因子:3
doi:10.3389/fmed.2025.1654707
Schwartz, Lihi; Matania, Naor; Levi, Matanel; Lazebnik, Teddy; Kushnir, Shiri; Yosef, Noga; Hoogi, Assaf; Shlomi, Dekel
肺癌
肿瘤
肿瘤免疫
发表日期：2025
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Does the tail show when the nose knows? Artificial intelligence outperforms human experts at predicting detection dogs finding their target through tail kinematics

尾巴会随着鼻子的动作而摆动吗？人工智能在预测搜救犬通过尾巴运动学找到目标方面，表现优于人类专家。

期刊:Royal Society Open Science
影响因子:2.9
doi:10.1098/rsos.250399
Martvel, George; Pedretti, Giulia; Lazebnik, Teddy; Zamansky, Anna; Ouchi, Yuri; Monteiro, Tiago; Farhat, Nareed; Shimshoni, Ilan; Michaeli, Yuval; Valsecchi, Paola; Hall, Nathaniel; Marshall-Pescini, Sarah; Grinstein, Dan
发表日期：2025
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Faces of time: a historical overview of rapid innovations in coding animal facial signals

时间的面孔：动物面部信号编码快速创新的历史概述

期刊:Frontiers in Veterinary Science
影响因子:2.9
doi:10.3389/fvets.2025.1716633
Lazebnik, Teddy; Florkiewicz, Brittany
信号转导
发表日期：2025
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