Here we want to talk more about the benefits of virtual reality (VR) and motor imagery training (MIT) on balance[…]
Tag: 3-minute video
VR effect on the balance function of children with Cerebral Palsy
https://clipchamp.com/watch/RIRjGBg3Zeg ChatGPT was used for the script ClipChamp for the video editing D-id was used for the lip-syncing Liu[…]
Elbow Exoskeleton System for Rehabilitation Training Based on Virtual Reality
References: De la Iglesia DH, Mendes AS, González GV, Jiménez-Bravo DM, de Paz Santana JF. Connected Elbow Exoskeleton System for[…]
Virtual Reality-Based Cognitive Stimulation on People with Mild to Moderate Dementia due to Alzheimer’s Disease: A Pilot Randomized Controlled Trial
https://clipchamp.com/watch/DtRChg7UAAp
Virtual Reality In Pain And Anxiety Management!
https://drive.google.com/file/d/1LKFLVJiM0abERgCKImEZysHj9xKdH5mN/view?usp=sharing
Near-infrared deep brain stimulation via upconversion nanoparticle–mediated optogenetics
Near-infrared deep brain stimulation via upconversion nanoparticle–mediated optogenetics Shuo Chen, Adam Z. Weitemier, Xiao Zeng, Linmeng He, Xiyu Wang, Yanqiu[…]
Sacrificial ink-writing technique allows 3D printing of large, vascularized human organ building blocks-Vascularized tissue for breast reconstruction
https://clipchamp.com/watch/
A FRESH heart
https://clipchamp.com/watch/WAzIozu2Y5g A. Lee et al. , 3D bioprinting of collagen to rebuild components of the human heart.Science365,482-487(2019).DOI:10.1126/science.aav9051 Royalty-free music from WaveToys[…]
Mind Reading
“semantic reconstruction of continuous language from non-invasive brain recordings” https://drive.google.com/file/d/1d7VdTJdOcfrO0IzdUShC0UUsjuuFHH_J/view?usp=sharing
Metascience Unmasked: Decoding the Replication Crisis in Psychology
Article reference: Gilbert, D. T., King, G., Pettigrew, S. et Wilson, T. D. (2016). Comment on “Estimating the reproducibility of[…]
Make Cutting Easy : Trendy Way to Hack Fitness with CRISPR Gene Therapy
%% I used Open-AI to generate some part of Voice Script The attachments are the files of the voice script[…]
Endangered mosquitoes?
option 2
Single-cell mRNA cytometry via sequence-specific nanoparticle clustering and trapping
OpenAI’s language model GPT-3 was used in creating this video. At the link below you can find the documentation of[…]
As seen on TV: Augmented reality-assisted pedicle screw insertion
Not really seen on TV… but maybe in future OR’s! References: [1] Molina, C. A., Theodore, N., Ahmed, A. K.,[…]
Augmented reality head-mounted display–based incision planning in cranial neurosurgery: a prospective pilot study
https://express.adobe.com/video/yD33cYZGA0ITb
Enhancing antimicrobial treatment with CRISPRi
References: Otoupal, P.B., Eller, K.A., Erickson, K.E. et al. Potentiating antibiotic efficacy via perturbation of non-essential gene expression. Commun Biol 4, 1267 (2021). https://doi.org/10.1038/s42003-021-02783-x
CRISPR/Cas9 gold-nanoparticle-mediated laserporation
This video explains a new technology on how to transfect the CRISPR complex into the target cell using gold-nanoparticle-mediated (GNOME)[…]
Sensory feedback prosthesis
Citing: Preatoni, Greta; Valle, Giacomo; Petrini, Francesco M.; Raspopovic, Stanisa. (2021). Lightening the Perceived Prosthesis Weight with Neural Embodiment Promoted[…]
Fracture Detection with Deep Learning
Article : Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification by : Mutasa, S. et[…]
Functional connectome fingerprinting
https://www.powtoon.com/c/fkbEdYOP30F/2/m
Predicting one’s attention
Reviewed video
A tree in mind
Please follow the link below to watch the updated video : https://www.powtoon.com/online-presentation/eWajL1Xe1Ma/untitled/?mode=movie#/ Reference : Edwin van Dellen, Iris E. Sommer,[…]
Parkinson’s Disease and Depression: A Connectometry Study
Reference: Ghazi Sherbaf, F., Same, K., & Aarabi, M. (2018). High angular resolution diffusion imaging correlates of depression in Parkinson’s[…]
Lesion Network Mapping
Reference : Fox, Michael. Mapping Symptoms to Brain Networks with the Human Connectome. New England Journal of Medicine 2018.[…]
Robust prediction of individual creative ability from brain functional connectivity
Reference: Beaty, R.E., Kenett, Y. N., Christensen, A. P., … Silva, P.J. (2018). Robust prediction of individual creative ability from brain functional[…]
Understand our brain with the functional connectome
Markett, S., Reuter, M., Heeren, B. et al. Brain Imaging and Behavior (2018) 12: 238. https://doi.org/10.1007/s11682-017-9688-9
A Dive Into the Depressive Brain: When Symptoms Tell Half the Story
Drysdale, A. T. et al. Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nature Medicine 23, 28–38 (2017).
Speech disorders and machine learning
Article source: Ghassemi, M. et. al (2016). Uncovering voice misuse using symbolic mismatch. Conference Article at Machine Learning and Healthcare Conference,[…]
AI for Robot-Assisted Autism Therapy
Source: Rudovic, Ognjen, et al. “Personalized machine learning for robot perception of affect and engagement in autism therapy.” Science[…]
Respiration prediction using a deep Bi-LSTM neural network
Reference: R. Wang, X. Liang, X. Zhu and Y. Xie, “A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time[…]
Reinforcement learning: your very own personal Doctor
Original study: Ngo P.D., Wei S., Holubová A., Muzik J. and Godtliebsen F. “Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement[…]
CRISPR and the epigenome, a new beginning.
Reference: CRISPR-Cas9 epigenome enables editing high-thoughput screening for functional regulatory elements in the human genome. Klann et al. 2017, Nature[…]
One step towards understanding metabolic and regulatory networks
Reference : Lian, J., HamediRad, M., Hu, S. and Zhao, H. (2017). Combinatorial metabolic engineering using an orthogonal tri-functional CRISPR system. Nature[…]
The Big Papi approach for genetic screening
Najm, F. J., Strand, C., Donovan, K. F., Hegde, M., Sanson, K. R., Vaimberg, E. W., Sullender, M. E., Hartenian,[…]
DockerBIO : A Promising Tool for Bioinformatics Analysis
Reference : – Kwon C., Kim J., and Ahn J. “DockerBIO : web application for efficient use of bioinformatics Docker[…]
Pipeline and Genomic Sequencing
Naccache, S. N., Federman, S., Veeraraghavan, N., Zaharia, M., Lee, D., Samayoa, E., … & Wadford, D. A. (2014). A[…]
SHARING BRAIN MAPPING STATISTICAL RESULTS WITH THE NEUROIMAGING DATA MODEL
Reference: Maumet, C., Auer, T., Bowring, A., Chen, G., Das, S., Flandin, G., … & Jenkinson, M. (2016). Sharing brain[…]
New ways to visualize big data in brain imaging
Reference: Panta, S. R., Wang, R., Fries, J., Kalyanam, R., Speer, N., Banich, M., … Calhoun, V. D. (2016). A[…]
Heart beats in the cloud: distributed analysis of electrophysiological ‘Big Data’ using cloud computing for epilepsy clinical research
Reference: Sahoo, S. S., Jayapandian, C., Garg, G., Kaffashi, F., Chung, S., Bozorgi, A., … & Zhang, G. Q.[…]
Using twitter as a big data source to track influenza
Reference: Broniatowski, D. A., Paul, M. J., & Dredze, M. (2013). National and local influenza surveillance through Twitter: an analysis[…]
Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort
Reference: Welikala, R. A., Foster, P. J., Whincup, P. H., Rudnicka, A. R., Owen, C. G., Strachan, D. P., &[…]
Brain Tumor Segmentation With Deep Neural Networks
Description: A video prepared by Johnny Daou about the paper “Brain tumor segmentation with Deep Neural Networks” that discusses different[…]
EARLY DIAGNOSIS OF ALZHEIMER’S DISEASE WITH DEEP LEARNING
Reference: Liu, S., Liu, S., Cai, W., Pujol, S., Kikinis, R., & Feng, D. (2014, April). Early diagnosis of Alzheimer’s[…]
EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation
Reference: Jirayucharoensak, S., Pan-Ngum, S., & Israsena, P. (2014). EEG-based emotion recognition using deep learning network with principal component based[…]
CRISPR/cas9 to correct dystrophin mutation in stem cells
Reference: Zhu, P., Wu, F., Mosenson, J., Zhang, H., He, T. C., & Wu, W. S. (2017). CRISPR/Cas9-mediated genome editing[…]
Phylogenetic Distribution of CRIPSR-Cas Systems in Antiobiotic-Resistant Pseudomonas aeruginosa
Reference: van Belkum, A., Soriaga, L. B., LaFave, M. C., Akella, S., Veyrieras, J. B., Barbu, E. M., … &[…]
In vivo genome editing improves muscle function in a mouse model of Duchenne muscular dystrophy
Reference: Nelson, C. E., Hakim, C. H., Ousterout, D. G., Thakore, P. I., Moreb, E. A., Rivera, R. M.[…]
Healing the DNA : sickle cell disease and CRISPR editing
Reference: Wen, J., Tao, W., Hao, S., & Zu, Y. (2017). Cellular function reinstitution of offspring red blood cells cloned[…]
Highly Efficient Genome Modifications Mediated by CRISPR/Cas9 in Drosophila
Reference: Yu, Z., Ren, M., Wang, Z., Zhang, B., Rong, Y. S., Jiao, R., & Gao, G. (2013). Highly efficient[…]