Results 71 to 80 of about 2,368,157 (325)

Individual Identification of Medaka, a Small Freshwater Fish, from the Dorsal Side Using Artificial Intelligence

Hydrobiology
Individual identification is an important ability for humans and perhaps also for non-human animals to lead social lives. It is also desirable for laboratory experiments to keep records of each animal while rearing them in mass.
Mai Osada, Masaki Yasugi, Hirotsugu Yamamoto, Atsushi Ito, Shoji Fukamachi   +4 more
doaj   +1 more source

Modelling the kinetics of milk emission during machine milking in dairy ewes [PDF]

, 2003
The individual milking time is one of the aspects which affect the routine of milking in dairy ewes and the time to devote to this laborious task.
Carta, Antonello, Casu, Sara, Robert Granié, Christèle   +2 more
core  

Printed sensing human-machine interface with individualized adaptive machine learning

Science Advances
Developing intelligent robots with integrated sensing capabilities is critical for advanced manufacturing, medical robots, and embodied intelligence. Existing robotic sensing technologies are limited to recording of acceleration, driving torque, pressure feedback, and so on.
Guohui Wang, Yao Tang, Xinran Luo, Shengdi Lu, Yiru Zhou, Yi Lu, Guangyang Sun, Pei Liu, Jiayu Ning, Hua Jiang, Ke Hu, Hongzhen Liu, Wenqi Song, You Yu   +13 more
openaire   +2 more sources

Comparisons of Likelihood and Machine Learning Methods of Individual Classification [PDF]

Journal of Heredity, 2002
Classification methods used in machine learning (e.g., artificial neural networks, decision trees, and k-nearest neighbor clustering) are rarely used with population genetic data. We compare different nonparametric machine learning techniques with parametric likelihood estimations commonly employed in population genetics for purposes of assigning ...
B, Guinand, A, Topchy, K S, Page, M K, Burnham-Curtis, W F, Punch, K T, Scribner   +5 more
openaire   +2 more sources

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Assessing individual genetic susceptibility to metabolic syndrome: interpretable machine learning method

Annals of Medicine
Background Genome-wide association studies have provided profound insights into the genetic aetiology of metabolic syndrome (MetS). However, there is a lack of machine-learning (ML)-based predictive models to assess individual genetic susceptibility to ...
Tao Huang, Yuanyuan Li, Simin Wang, Shijie Qiao, Xiujuan Zheng, Wenhui Xiong, Menghan Yang, Xirui Huang, Bizhen Gao   +8 more
doaj   +1 more source

Invisible Influence: Artificial Intelligence and the Ethics of Adaptive Choice Architectures [PDF]

, 2019
For several years, scholars have (for good reason) been largely preoccupied with worries about the use of artificial intelligence and machine learning (AI/ML) tools to make decisions about us.
Susser, Daniel
core  

‘Rise of the machines’: the next frontier in individualized medicine [PDF]

Cardiovascular Research, 2021
Wahbi K El-Bouri, Ying X Gue, Gregory Y H Lip   +2 more
openaire   +4 more sources

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source