Pioneering a transformative approach to enhance the quality of life for stroke survivors, the School of Physics at Sun Yat-sen[…]
Tag: one page summary
Evaluation of FIVR in Post-Stroke Rehabilitation – An Movie Review Style Article Presentation
Virtual Reality in Stroke Rehab: A Technological Triumph Setting the Stage: In the realm of medical science, a new player[…]
Designing a virtual reality physical therapy for children with upper limb motor impairment
https://xmind.works/share/SQ7fzJNY?xid=cf3X1Ojg
Is VR real?
Have you ever observed people in a VR experiment and thought their reactions were perhaps a little excessive? Like the[…]
La transparence du visuel
La métascience. C’est la science qui se concentre sur l’étude des méthodes scientifiques elles-mêmes, mais aussi sur l’évaluation de la[…]
Pushing the Boundaries of Breast Cancer Diagnosis: When MRI Meets Deep Learning
Article reference: Jan Witowski et al.,Improving breast cancer diagnostics with deep learning for MRI.Sci. Transl. Med.14,eabo4802(2022).DOI:10.1126/scitranslmed.abo4802 Supplementary reference: Vickers, A. J.,[…]
A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging
It is all about Pancreatic ductal adenocarcinoma (PDAC) as a highly aggressive form and the most common type of pancreatic[…]
Implementation and prospective clinical validation of AI-based planning and shimming techniques in cardiac MRI
Implementation and prospective clinical validation of AI
AI prediction models based on MRI features: a preoperative classification of cancer subtypes to adapt plans of treatment
Currently, there is a lack of preoperative diagnostic methods to differentiate subtypes of non-functioning pituitary adenomas (NFPAs), leading to all[…]
Peer review, a vast experiment
https://xmind.app/m/XNcBaD Reference: Mastroianni A. (2022, December 13). The rise and fall of peer review. Experimental History. https://www.experimental-history.com/p/the-rise-and-fall-of-peer-review
Is clinical research as useful as they say?
What is the aim of clinical research if not being able to answer all questions related to the prevention,[…]
Navigating the Waters of Scientific Expression: Stella, Marcus, and the Impact of Generic Language
In a coastal town known for its scientific exploration, two famed shipwrights, Stella and Marcus, built vessels for researchers to[…]
Italian Dishes and Hieroglyphics: The Unexpected Synergy in High-Impact Research
Imagine you’re a chef in the heart of Italy. The dishes you’ve been crafting have grown somewhat monotonous, and you’re[…]
What good can the peer review process bring you ?
A group of scientists in a lab authored a paper and conducted a series of experiments. Initially, they did not[…]
Hologram Display for Neurosurgery Guidance
“When you change the way you see the world, you change the world you see” – Satya Nadella At first[…]
Silk fibroin directs the formation of monetite nanocrystals and their assembly into hierarchical composites
Biomineralization is a complex bioprocess that consists in the formation of inorganic components directed by an organic framework. This organic[…]
HAVE YOU EVER WONDERED WHY CERTAIN THINGS AMAZE US?
https://express.adobe.com/page/a1JvuntIBIWR9/
Fractals are everywhere around us… and in us too!
Have you ever noticed that we are surrounded by never-ending patterns that repeat over and over, looking similar up close[…]
Bones regeneration approach using a biomimetic matrix and hierarchical structure
Bones possess a remarkable combination of properties: they can support a very high mass compared to their density (material strength)[…]
Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach
Greetings! My name is Wandy, I will be your artificial psychiatrist for this session. How are you feeling lately? Actually,[…]
DeepPET: A deep encoder–decoder network for directly solving the PET reconstruction inverse problem
I would like to take this opportunity to tell you about a project I did during my bachelor’s degree. This[…]
MegaSyn: An Integrated Pipeline for Drug Discovery
Picture an evil scientist in its lair, petting his cat. He is generating molecules using MegaSyn on his villain-o-puter™, trying[…]
Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter measurement: Full Automation by Artificial Intelligence
Introduction Artificial intelligence is seeing great growth in the field of medicine, ranging from medical imaging to even surgeries these[…]
The Amsterdam Open MRI Collection, a Reliable Datasets for Neurosciences
The methodology section of a scientific paper aims to describe how the research was carried out to give readers confidence[…]
An Open-Source Software Platform: Making Reproducible Clinical Neuroscience Studies Easier
When it comes to clinical neuroscience studies, neuroimaging plays an important role. Although the studies of neuroscience may be varied[…]
Magnetization Transfer and Open MRI
Magnetization Transfer and Open MRI Introduction “Generalized Bloch model: A theory for pulsed magnetization transfer” is a report whose purpose[…]
How to distinguish Fat from Water in muscle MRI without spending hours of processing
In clinical research it is still challenging to rapidly obtain an accurate T2-map for water and fat fraction from muscle[…]
Changing the future of Alzheimer’s disease diagnosis with deep learning
Changing the future of Alzheimer’s disease diagnosis with deep learning According to the World Health Organization (WHO), currently there are[…]
Altered connections on the road to psychopathy
Altered connections on the road to psychopathy_By Amélie Baron
The importance of tactile feedback
Restoring somatosensation for amputees has been achieved on multiple occasion through peripheral stimulation where they implant a stimulator near the[…]
A prosthesis that helps restore sensation to above-knee amputees
Reference : Petrini, F. M., Bumbasirevic, M., Valle, G., Ilic, V., Mijović, P., Čvančara, P., Barberi, F., Katic, N., Bortolotti,[…]
DL for one of the most lethal cancers
Deep learning for one of the most lethal cancers Have you ever heard about colorectal cancer (CRC)? If not, it[…]
Deep Learning for Prostate and Breast Cancer Diagnosis
Pathologists spend hours analyzing stained slides under microscopes to diagnose cancer. To increase the efficiency and accuracy of cancer diagnosis,[…]
Metabolic Modelling to Uncover the Role of the Gut Microbiome in IBD
[et_pb_section][et_pb_row][et_pb_column type=”4_4″][et_pb_text] Inflammatory Bowel Disease (IBD) is a disorder affecting more than 2 million Europeans and 1.5 million North Americans,[…]
Machine Learning Meets Metabolic Engineering in Yeast
Metabolic modelling allows us to engineer predictions of biological systems to understand the basics of cellular metabolism and to optimize[…]
Introducing Harvey and Harvetta, a new personalized model for whole-body metabolic reconstruction
Article : Personalized whole-body models integrate metabolism, physiology, and the gut microbiome Every human being is different due to many[…]
Bacterial flower at it’s best
Science does what science does. Makes hypothesis and verify if it’s confirmed or denied to better understand how the world[…]
Metabolic differences in diabetes patient with metabolic modeling
Article title : A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology The human metabolism is a[…]
New device for studying the human gut microbiome in vitro
The human gut microbiome is associated with both disease and health benefits for the body. However, it is not always[…]
Metabolic dependencies drive species co-occurrence in diverse microbial communities
Microbial communities populate most environments on earth and play a critical role in human health and the environment. Their composition[…]
The potential of MRI to study the gyrification process
The goal of the study presented in the article is to map the process of fold formation in the cerebral[…]
[Revised] The Use of a Siamese Neural Network in a Highly Specific Medical Image Analysis Problem
Article title: Siamese neural networks for the classification of high-dimensional radiomic features A Siamese neural network contains at least two[…]
[Revised]Machine Learning Techniques for Classification of Diabetes and Cardiovascular Diseases
Machine Learning was created as an attempt to determine if computers could gather and treat knowledge as a human brain.[…]
Future MRI scanners : more affordable and flexible
Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging technique widely used in hospitals and clinics, which provides high spatial[…]
[REVISED] Using Supervised Reinforcement Learning with Recurrent Neural Network to treat patients
Designing healthcare treatment recommendation systems using deep learning is a promising research subject. Using an algorithm to prescribe a treatment[…]
Irregular Ring Pair Design for Low-Field Portable MRI
For portable MRI scanners, a permanent static main magnetic field (B0) is desirable to reduce power consumption and cost, but[…]
Mindfulness meditation has effects on your brain
Reference: Sharp PB, Sutton BP, Paul EJ, Sherepa N, Hillman CH, Cohen NJ, Kramer AF, Prakash RS, Heller W, Telzer[…]
Hybrid Machine Learning Helping Doctors Diagnose Epilepsy
Detecting epileptic seizures in electroencephalogram (EEG) signals is essential in the diagnostic of epilepsy in patients. However, there is no[…]
Trees and Forest help understand the survival of lung cancer patients
Survival time prediction of cancer patients is clinically important. However, studies have shown that clinicians struggle to estimate the prognosis[…]
What can you learn from prenatal ultrasounds?
Reference : Pradeeba Sridar, Ashnil Kumar, Ann Quinton, Ralph Nanan, Jinman Kim & Ramarathnam Krishnakumar. (2018). Decision Fusion-Based Fetal Ultrasound Image[…]
Civil Wars inside a Tumor
Two abilities of the cancerous cells are self-seeding and self-homing. Former allows them to spread to other parts of the[…]
Is This Drug Right for You ?
Have you ever wonder why cancer is so difficult to cure in many patients? Cancer takes roots within the DNA[…]
CRISPR-dCas9-KRAB dethroned?
One of the current hot topics of the biomedical field is the use of the CRISPR-Cas9 system as a genome[…]
CRISPR for Gene Essentiality : A Novel Way to Cure Cancer with Overlooked Targets?
Cancer is one of the major scourges of modern times, mainly because of its ability to bypass the various treatments[…]
Big m-Health data : The premisces of m-Health 2.0
Mobile health care is evolving at a fast pace, and has shown through the years an efficient impact in the[…]
Big Data To Predict Your Personality from MRI
In a recent study of April 2018, Owens et. al., investigated whether the morphology of the cerebral cortex could be[…]
Big Data and new genetically-linked hypothesis, an example with Alopecia Areata and potential new comorbidities.
Autoimmune diseases (AD) share the same underlying cause: the aberrant interaction between one’s immune system and its own tissue, leading[…]
BIDS: A step towards simple sharing of neuroimage data
With the arrival of brain scanning technologies such as MRI, the number of neuroimaging experiments has grown tremendously. Tens of[…]
Big data for clinical genetic testing
Genetic analyses are becoming an extremely powerful tool to diagnose a wide range of pathologies. So far though, the large[…]
Will you have Alzheimer’s disease in 10 years?
This question sounds like a threat, but it is actually a challenging issue for brain research: how to catch signs[…]
Untangling hippocampal microstructure in MRI-negative epilepsy at 7 Tesla
Drug-resistant epilepsy is a seriously invalidating neurosurgical condition affecting one third of epilepsy patients. In 30-40% of cases, MRI studies[…]
How high-field MRI can enhance the surgical treatment of Parkinson’s disease ?
Deep brain stimulation is a commonly used technique to treat Parkinson’s disease. It consists in placing an electrode in the[…]
High field MRI : a new treatment planning for cancer
[embeddoc url=”https://gbm6330.edublogs.org/files/2019/01/HF-MRI-Nassim-Ksantini-22sx3xr-12eus3o.pptx” download=”all” viewer=”google” ]
Ultra-high field (UHF) diffusion MRI : a solution for complete mapping of hippocampus
Accurate and complete brain mapping is a current issue in biomedical technologies since diseases such as Alzheimer are increasingly diagnosed. The[…]
More T, anyone?
Amongst the available imaging techniques, MRI is best for visualizing acute and chronic manifestations of cerebrovascular diseases. Even more so,[…]
Could gadolinium-based contrast agents be toxic when combined with high-field MRI (7T)?
In 2015, 1.95 million MRI were performed in Canada[1]. Doctors have the possibility of using MRI contrast agents to increase[…]
High-field MRI to enhance the surgical treatment of Parkinson’s disease
Deep brain stimulation is a commonly used technique to treat Parkinson’s disease. It consists in placing an electrode in the[…]
Ultra-High-Field MRI of the Musculoskeletal System at 7.0T
High-field (HF) and ultra-high-field (UHF) imaging systems are used to explore musculoskeletal applications due to their high intrinsic signal-to-noise ratio[…]
Ultra-high field fMRI to study the anxiety part of the brain
The bed nucleus of the stria terminalis (BNST) is a small part of the brain that influences states of[…]
Privacy-preserving Deep Learning
Paper citation: Shokri, R., & Shmatikov, V. (2016). Privacy-preserving deep learning. In 2015 53rd Annual Allerton Conference on Communication, Control,[…]
Big Data to find adverse drug events
Adverse Drug Events (ADE) can be defined as all the unwanted effects of drugs that can injure the user. Consequently,[…]
Biomedical Big Data : a pipeline for stem cell differentiation analysis.
The complete regulatory mechanisms of human pluripotent stem cells need to be fully understood in order to develop new efficient[…]
Preprocessing Pipelines : Finding an Optimal Approach
The amount of shared neuroimaging data sets keep increasing over time, which is why it is important to develop strong[…]
Electric field calculations in brain stimulation based on finite elements: an optimized processing pipeline for the generation and usage of accurate individual head models.
The need for realistic electric field calculations in the brain is increasing, especially for the control of transcranial brain stimulations. […]
Machine Learning for Nuclear mechano-morphometric biomarkers in Cancer Diagnosis
[et_pb_section bb_built=”1″ admin_label=”section”][et_pb_row admin_label=”row”][et_pb_column type=”4_4″][et_pb_text admin_label=”Text”] What is Machine Learning? Regardless of what field you are working in, the terms[…]
Correction of a Genetic Disease in Mouse via Use of CRISPR-Cas9
Yuxuan Wu, Dan Liang, Yinghua Wang, Meizhu Bai, Wei Tang, Shiming Bao, Zhiqiang Yan, Dangsheng Li, Jinsong Li Today there[…]
Highly Efficient Site-Specific Mutagenesis in Malaria Mosquitoes Using CRISPR Ming Li, Omar S. Akbari, and Bradley J. White (2017)
Highly Efficient Site-Specific Mutagenesis in Malaria Mosquitoes Using CRISPR Ming Li, Omar S. Akbari, and Bradley J. White (2017) According[…]
Introducing genetic modifications into humans embryos
In this paper, they implement the CCR5Δ32 allele into human tripronuclear (3PN). What are 3PN embryos? 3PN embryos are zygote[…]
CRISPR and the study of genes in vivo
Knockout of zebrafish interleukin 7 receptor (IL7R) by the CRISPR/Cas9 system delays retinal neurodevelopment by Shijiao Cai and al. (February[…]
Brain Network Hubs and Brain Disorders Anatomy
A brain network (known as connectome) could be described and analyzed by a number of highly connected hub nodes. The[…]
The dynamic pain connectome
The connectomics is the study of the connectomes, thus the study of the different neural links connecting[…]
What if our cognitive tasks were predictable?
All the brain’s functions can be encapsulated in five cognitive functions which are used to acquire and create knowledge: memory,[…]
The Rich Club of the C. elegans Neuronal Connectome
The C. elegans, was the first multicellular organism where all the nervous elements have been mapped at a cellular scale.[…]
From intent to movement: How neural oscillations synchronisation encode motor actions
Existing research provides evidence that goal-directed motor behavior, starting from goal encoding, to motor planning and motor command execution, is associated[…]
Predicting seizure outcomes following lobectomy using connectomics
In this article, Bonilha et al. (2015) propose a novel method to assess seizure occurrence in epileptic patients following anterior[…]
The Impact of Anatomical Disconnections on the Schizophrenia Connectome.
The etiology of Schizophrenia as a mental disorder is still not clear, but it is associated with aberrant functional and[…]
Altered resting state brain networks in Parkinson’s disease
Parkinson’s disease (PD) is a neurodegenerative disorder resulting primarily from the loss of dopaminergic neurons. Patients principally experience motor-symptoms such[…]
COMPRESSED SENSING MRI: SUMMARY OF EXPERIENCES IN ACCELERATING BODY MRI
This figure summaries two years of experiments studying the impact of compressed sensing combined parallel imaging on accelerating body[…]
Real-time high-speed volumetric imaging using compressive sampling optical coherence tomography
This post is a short summary of the article: Young, M., Lebed, E., Jian, Y., Mackenzie, P. J., Beg, M.[…]
Compressed Sensing MRI via Two-stage Reconstruction
Compressed sensing (CS) is a data sampling technique which has been adopted to magnetic resonance imaging (MRI) to reduce the[…]
Summary of the Article: Accuracy of the Compressed Sensing Accelerated 3D-FLAIR Sequence for the Detection of MS Plaques at 3T
Three-dimensional fluid-attenuated inversion recovery (3D-FLAIR) is an MRI sequence that attenuates the signal from cerebrospinal fluid in order to obtain[…]