Category description for “Medical Articles”
C elegans show convoluted social behaviours, one of which is aggregation. The aggregation is often connected to factors; like starvation and selected advantages. A recent study has been made to further determine those behaviours and their causes; and also to answer the question “why do these aggregations happen and what do they provide?” The behavioural […]
Artificial intelligence can aid researchers when testing the behaviours of an individual on how they take part in group movements and how they are coordinated; this often can be done through computer simulations. These simulations can detect the rules which play part in controlling the behaviours of small worms that feed on bacteria in large […]
We all dread our visits to the dentist, we delay those trips to the last possible minute because, well, they’re never fun. All that however, is about to change thanks to artificial intelligence. AI has been developing in the recent few years, and it keeps paving its way into new fields and areas everyday; from automated computer games to having digital assistants to revolutionising the medical fields. Recent AI applications and algorithms have made their way to the dental field as well. Through using 3d imaging techniques and AI applications in dental medicine, it boosted the developments and usage of AI in various clinical problems. Using AI has potential sources of data imaging and analysis for development of AI based systems which can produce automated diagnosis, prediction of outcomes and possible treatments. AI algorithms are proposed to some main applications; automated diagnosis of dental diseases, localising anatomical markings for orthodontic treatments and their planning. Recognition of teeth and diagnosis of facial deformations can be done automatically by using AI based systems, they work on facial scanning, this particular field is very promising in the future as it holds the keys to many answers, researchers are predicting it to completely revolutionize the current methods of diagnosis and treatments, so they are doing comprehensive studies on understanding the current AI trends as to understand how they can be developed in dental imaging and 3D imaging. Current AI models are being used for diagnosis and some clinical applications like automated localisation of craniofacial anatomical structures or detection of tumours, most of which depend on machine learning algorithms that were developed using 2D imaging. However, 2D images do have certain limitations , the images could be distorted or superimposed anatomical structures , that’s why they have lower accuracy. 3D imaging techniques are becoming more popular now and are becoming more increased in facial scanning systems and being more commonly used in dental practices. The imaging allows visualization and more accurate assessment of anatomical structures, so they provide higher diagnostic accuracy and precision. They also provide reliable soft issue images in 3D which can be applied for digital treatment planning systems. So in the near future, you can just get those images taken and the algorithms could in fact determine your diagnosis and set a course of treatment for you, no more uncomfortable poking around your mouth. Wouldn’t that make those dentist visits more bearable? Or who knows, maybe someday we would be able to take those images from the comfort of our homes and just upload the data to the nearest dental practice!
Artificial Intelligence and Deep learning has sparked a lot of attention in the development of new medical image processing algorithms. Recently deep learning-based models have proven to be incredibly successful in a range of medical imaging responsibilities to help with detection and diagnosis of diseases. In spite of their success, deep learning models in medical image […]
The biological mechanism of a protein is determined by its three-dimensional (3D) structure, which is encoded in its one-dimensional (1D) amino acid sequence. Protein structure knowledge is utilised to assess their biological mechanisms, it can also aid in the discovery of new therapeutic interventions that can inhibit or activate the proteins to cure target diseases. […]
Artificial intelligence (AI) and machine learning (ML) have emerged as the breakthrough technologies most expected to have a massive influence on pharmaceutical research and development over the last ten years (R&D). This is being primarily driven by groundbreaking advancements in computer technology, as well as the simultaneous dissipation of preceding limitations to the collection/processing of […]
The availability of large-scale datasets has accelerated the artificial intelligence development and growth. The scarcity of large-scale medical datasets however, limits the use of machine learning in healthcare. The lack of publicly available multi-centric and diverse datasets is primarily due to concerns about confidentiality and privacy when sharing medical data. A case study was conducted […]
Image analysis can be used for various scientific researches and methodologies. One of the newest is its application and usage for monitoring and controlling of the crystallization process. Recent studies have shown that image analysis can play an integral part through image analysis algorithms. Particle characterization is critical for pharmaceutical crystallisation because properties such as […]
Pathogenic microorganisms are the cause of infectious diseases. The way they spread however, may vary: as they can spread directly, which means human to human contact. They may also spread indirectly, which means environment to human or vector to human; which means through an organism like a mosquito that transmits a disease from an infected […]
Electronic computers have shaped the statistical development and transformed the biological researches of the 20th century. Similarly, Artificial Intelligence has done almost the same impact on the 21st century biology. The evolution of AI technology is on its way to establishing new ways to allow scientists and researchers to able to answer deep biological questions; […]
The concept of Artificial Intelligence is considered an old one; for many years it has been developing and evolving. Many scientists tapped the idea in different ways, across various branches of modern science; from mimicking the human brain to modern computers with microchips. AI became a reality at the dawn of the 21stcentury when it […]
In-vitro propagation of human cells has developed drastically over the years and it has been proven to be an outstanding technical advance; which has applications in various phases of human biology. However, this technology’s history has become sort of ‘tainted’. This is due to the fact that an inception via an incidence; which is mistaken […]
Three-dimensional or (3D) cell cultures are useful in cell biology research as well as tissue engineering; as they resemble the architectural microenvironment of natural tissue more closely than two-dimensional cultures. Microscopy techniques function well for thin, optically transparent cultures. On the other hand, they are not accurate when it come to imaging 3D cell cultures. […]
The functional properties and specific readouts required of the cell model heavily influence the selection of a cell line for cell culture. The chosen cell lines must also be compatible with the available equipment and the requirements of their specific hazard group. Primary cells, transformed cells, and self-renewing cells are the three types of cells […]
Studying living organisms is identified as biological cultures. Biological cultures are categorised into several types; organ culture, tissue culture and cell culture. A cell culture means a biological culture of cells of multi-cellular eukaryotes. It is a cultivation of cells, which are derived from a multi-cellular eukaryote and has grown under controlled conditions in a […]
Previously we discussed four functions in the medical field which AI will revolutionize. They were: logistics, data management, diagnosis and repetitive tasks. For more information, check our previously published blog. The next part will discuss the rest of the medical field areas in which AI will revolutionize in the very near future, some of which […]
The potential which artificial intelligence has in healthcare is quite impressive, it’s expected that within the next few years, AI will revolutionize almost every field in our lives; especially medicine. One of the reasons AI has such incredible abilities, is its digital capacity, it can store amounts that the human brain simply can’t, which means […]
AI is a very powerful tool. It’s currently paving the road to outstanding achievements in many fields, one of them is medicine. Artificial intelligence can be applied in several ways to overcome certain limitations and ease several procedures for both researchers and doctors. AI can be applied in various methods and techniques; mimic the human […]
Al algorithms have shown remarkable breakthroughs in several areas in the scientific field; one of which, is tasks of image-recognition. AI is implemented in various methods when it comes to imaging; from neural networks to auto-encoding, and it is moving at a rapid pace, as methods keeps progressing and more applications are becoming more useful. […]
For decades now, cancer has been devastating the world, taking many lives. The battle against cancer is an ugly one, as there is no accurate cure. Doctors and researchers are always working to develop the existing drugs and trying to figure out new ones that guarantees healing, as existing drugs don’t always work with everyone, […]
