Enhancing Blood-Brain Barrier Penetration Prediction with Machine Learning and Explainable Artificial Intelligence

被引:0
|
作者
Spielvogel, C. [1 ]
Schindler, N. [1 ]
Stellnberger, S. L. [2 ]
Papp, L. [3 ]
Hacker, M. [1 ]
Schroeder, C. [4 ]
Pichler, V. [2 ]
Vraka, C. [1 ]
机构
[1] Med Univ Vienna, Div Nucl Med, Vienna, Austria
[2] Univ Vienna, Div Pharmaceut Chem, Dept Pharmaceut Sci, Vienna, Austria
[3] Med Univ Vienna, Ctr Med Phys & Biomed Engn, Vienna, Austria
[4] Univ Vienna, Dept Computat Biol Chem, Vienna, Austria
关键词
D O I
暂无
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
EP-0784
引用
收藏
页码:S745 / S745
页数:1
相关论文
共 50 条
  • [21] Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models
    Moulaei, Khadijeh
    Afshari, Lida
    Moulaei, Reza
    Sabet, Babak
    Mousavi, Seyed Mohammad
    Afrash, Mohammad Reza
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [22] Explainable Artificial Intelligence (XAI) and Machine Learning Technique for Prediction of Properties in Additive Manufacturing
    Abbili, Kiran Kumar
    JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2025, 24 (02) : 229 - 240
  • [23] Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence
    Cifci, Ahmet
    IEEE ACCESS, 2025, 13 : 36285 - 36305
  • [24] Exploring the Efficacy of Artificial Intelligence in Speed Prediction: Explainable Machine-Learning Approach
    Jain, Vineet
    Chouhan, Rajesh
    Dhamaniya, Ashish
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2025, 39 (02)
  • [25] Risk Prediction of Diabetic Foot Amputation Using Machine Learning and Explainable Artificial Intelligence
    Oei, Chien Wei
    Chan, Yam Meng
    Zhang, Xiaojin
    Leo, Kee Hao
    Yong, Enming
    Chong, Rhan Chaen
    Hong, Qiantai
    Zhang, Li
    Pan, Ying
    Tan, Glenn Wei Leong
    Mak, Malcolm Han Wen
    JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY, 2024,
  • [26] Potential of immobilized artificial membranes for predicting drug penetration across the blood-brain barrier
    Reichel, A
    Begley, DJ
    PHARMACEUTICAL RESEARCH, 1998, 15 (08) : 1270 - 1274
  • [27] Biotransformation modulates the penetration of metallic nanomaterials across an artificial blood-brain barrier model
    Guo, Zhiling
    Zhang, Peng
    Chakraborty, Swaroop
    Chetwynd, Andrew J.
    Monikh, Fazel Abdolahpur
    Stark, Christopher
    Ali-Boucetta, Hanene
    Wilson, Sandra
    Lynch, Iseult
    Valsami-Jones, Eugenia
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (28)
  • [28] Prediction of Blood Brain Barrier Penetration of newly developed radiotracer using machine-learning software
    Vraka, Chrysoula
    Papp, Laszlo
    Mijailovic, Sanja
    Nics, Lukas
    Wadsak, Wolfgang
    Hacker, Marcus
    Mitterhauser, Markus
    JOURNAL OF LABELLED COMPOUNDS & RADIOPHARMACEUTICALS, 2017, 60 : S380 - S380
  • [29] Prediction of the Blood-Brain Barrier (BBB) Permeability of Chemicals Based on Machine-Learning and Ensemble Methods
    Liu, Lili
    Zhang, Li
    Feng, Huawei
    Li, Shimeng
    Liu, Miao
    Zhao, Jian
    Liu, Hongsheng
    CHEMICAL RESEARCH IN TOXICOLOGY, 2021, 34 (06) : 1456 - 1467
  • [30] BBBper: A Machine Learning-based Online Tool for Blood-Brain Barrier (BBB) Permeability Prediction
    Kumar, Pawan
    Saini, Vandana
    Gupta, Dinesh
    Chawla, Pooja A.
    Kumar, Ajit
    CNS & NEUROLOGICAL DISORDERS-DRUG TARGETS, 2024,