Category: healthcare & Medical Conference

AI-powered drug design rediscovered by Science!

by JSBConference -

Current advances in the Artificial Intelligence domain are in successful propagation within an area of technology. These include the processes such as computer vision methods, speech recognition process, language processing and so on. World Congress on Chemistry and Drug Discovery 2023, Toronto purposes a view of the induced A.I process on the drug industry.

Artificial Intelligence and Pharmaceutical Drugs.
A. I have been constantly upgrading itself into areas of biology, chemistry, further improving the success rates and lowering the cost of drug delivery and developments.

At the laboratories of Jianfeng Pei, current drug discovery in the field of Artificial Intelligence has been put forward with topics of “AI for drug discovery and development”. This research topic properly highlights the recent advances of further advancements in the AI for the drug and developments. Currently, pharmaceutical domains have improved the process with a variety of pharmaceutical Research and development techniques.

The integrity of Artificial Intelligence is perceiving into life sciences which is further resulting in a wave full of academic publications. A number of startups have thus seen developing a wide variety of strategies, including pursuing the business models in developing pharmaceutical researches. Currently, the pharmaceutical industry has also been strengthening in the capabilities with centralizing amends of data sources which are segregated. This further gets onto hiring data scientists with investing in a large set of infrastructures.

This has curated A. I in the pharmaceutical industry and put forward a distinct vision of early-stage discoveries in innovative medicines, research, and development. These processes are expected to enable a lot of industry domain inventions of early-stage discovery and innovative medicines. This will further reach out to people globally.

Currently, China has been expected to become a major influencer in the pharmaceutical industry. Trade wars are evident in the current situations and they can have an impact on the field. Diseases like Cancer, Alzheimer’s aren’t affected by nation wise concerns. Unless there has been a clear set in the curing effects, the trade war of biotechnology domain is prevalent to that of war. Ordinarily, the advancement in the bio medicines requires major collaborations internationally, with varied diversity and initiatives.

World Congress on Chemistry and Drug Discovery-2019
The World Congress on Chemistry and Drug Discovery to be held on Toronto, Canada focuses an array of scientist, professors, chemistry subject experts, drug chemists, pharmaceutical engineers, research fellows, pharmaceutical engineers, research fellows, scientific communities, and so on. The event will portray a variety of ideas on the designated field dealing of A.I in the field of drugs. Additionally, the discussions include the ongoing research expertise in various fields of chemistry, drug designing, drug synthesis and engender.

Tackling mental issues in growing children

by JSBConference -

In the era of accidents and illness, access to good health care services can serve as a major influencer in the life and death of children. Most children who are deprived of help and suffer from mental issues need to attain medical help more often.

The rates of youth suicides have been rising in recent years, and Psychiatry Conferences put forward the issue facing among 80 percent of mentally affected children. One in three children who have a mental health condition has a higher prevalence rate than usual.

The major cause of the disability in the young population has been mostly neuropsychiatric disorders. These are considered a condition which is mainly caused by diseases affecting the nervous system. Many diseases such as ADHD, eating disorders, depression as well as autism are trending in the Neuropsychiatric conditions. If left untreated, these diseases can be detrimental in the well being of a child.

A lot of Middle Tennessee children, right from birth to age of 5 are in receiving an early diagnosis with treatment for a variety of mental conditions. This has been largely based on the federal gran who has given funding from the U.S Department of Health and Human services recently.

Additionally, with respect to educational and employment services, a lot of untreated mental health issues does put a probability that the person can be involved in a so-called juvenile justice system, This can lead to a higher risk of going ahead in the criminal justice system in the adulthood. Many studies even show much greater access in the mental health services which can decrease the rate of incarceration in an overall manner.

Almost half of the major mental health conditions have been known to be affected by an early age of 14. Further, these early intervention programs can be effective in providing adequate support for the young population. In the future, these can be well-established for a better atmosphere in the school, employment, and quality of life.

Nearly a majority of health conditions do begin by the age of 14. Due to this, an early intervention program can have a tremendous effect on the young generation. This further leads to better days in school, with stable employment status and quality of life altogether.

With the need for mental health services rising on the global standard, parents are best friends to advocate the help to their children. A lot of parents along with caregivers are empowered on to take an active role with further being on the influential side. This largely makes the child come face to face in healthcare aspects. Further, families should be thoroughly encouraged to speak boldly and say about barriers. This can give access to care and ask for what children need support when it comes to their well-being.

World Congress on Mental Health

The Neuroscience conference London 2023 presents an platform in presenting the scientific improvements of the field. The conference is one of a kind Psychiatry Conferences, which aims at making motivational keynotes in through leaders and pioneers across the globe.

It will host a variety of researchers, students as well as business professionals.

Fellow researchers from the field of psychiatry are there to participate and share their knowledge into the domain, which can give a grasp on cutting edge findings to the field of psychiatry and mental health.

Neuroscience and AI: integrating the unexplored areas

by JSBConference -

Though we see today that artificial intelligence and machine learning are getting spread over every sector, its development in the neurology is not yet explored to the extent it should have been. Neuroscience and artificial intelligence are considered two different things as one belongs to the technology while the other biology. 

Recent international conferences on neuroscience have discussed nemourous brain functions, thought little on AI. This blog traverses through how both terms can be incorporated and explored for obtaining advanced results from both sectors. 

Research in the past decade has observed physical connection in the brain to a tremendous extent. We have also seen how the nervous systems perceive information and process it. That being said, the brain is such a crucial and delicate factor in the body which has many undiscovered factors. That tells how there’s a lot more which is not explored yet. 

While we have been exploring how the brain functions and learns everything, on the other hand, tech experts have gained a gamut of things through constant development in the area of computer algorithms hardware and software applications. In today’s world of machine learning and artificial intelligence, some researchers believe that exploring the neurological areas and how the brain functions can help tech enthusiasts and researchers in many ways. It can primarily help translate the concepts of thinking from neurology and then incorporate them into things such as AI and machine learning. 

Brain and machines are indifferent: 

Artificial intelligence or even machine learning for that matter is a part of technological innovations which are systems. They are undoubtedly an improvised version of the human brain which can accurately find enormous data sets. These data sets are complex and often have subtle patterns. 

Through the latest healthcare industry market research, you would find such innovations almost in every sector today. Be it automated vehicles, face identifying systems, finance threat detection or robots, the systems have been a huge help to mankind. Its contribution to the medical diagnoses and healthcare industry cannot be ignored. However, they are simply modifications of a single computer algorithm. 

Another term popular in machine learning is artificial neural networks. This is a common approach which interconnects with digital processors accepting process measurements, inputs and produce outputs, etc. As per the researchers, to gain enhanced outputs, one should understand how various inputs give different outputs and analyze the same. With this, you will be able to respond better the patterns which are alike. 

For instance, if you wish that your system show the text of what is being shown to the system, you must show a lot of pictures of the object to help the system better recognize it. For instance, a dog. You have to show different dog images with more information about the various dog breeds. When you do this, your system can have internal connections and the next time you show a dog, it can show the text dog on it. The more information you put, the more objects it will be able to identify and display text for the same. 

This may be how a machine learning system understands various objects, however, the brain functions differently than the systems. You may not have to show every type of dog with different angles and yet the brain can identify a dog. With human brains, they take a very little amount of information, store it to the memory very quickly identify various subjects and objects even though seeing from different angles.

Needless to say that both the brain and the machine learning systems work differently owing to their different nature. While one ace at one thing, the other may poorly fail at the same and vice versa. 

For instance, a machine learning system may not able to process information when there’s noise in the communication, however, the brain can!  On the other hand, for a human brain, it can be difficult to process a large amount of complex data but that’s exactly what machine learning systems are made for. 

When you a dog’s photo which may be black and white or slightly torn, you can still identify the picture that it’s a dog. However, because of your brain know that the picture is similar to a dog, you would decide that it’s a dog. Unlike in the case of a machine learning system which would simply fail to give any output for the inadequately processed information. 

It is crucial to understand the brain’s potential to recover from physical problems, reconnecting with different things surrounding them. A stroke or an injury can make it difficult for a brain to adapt to go back to the stored information. The brain still aces at impressively processing a particular type of information despite being injured. As you may have seen that the brain does not struggle to understand a language while it may struggle to recognize particular subjects or objects which were stored at a particular time. 

In the case of machine learning systems, it may not at all function or process information if half of its connections are being removed or ‘injured’.

Integrating machine learning and neuroscience: 

Though there’s continous research being conducted in the neuroscience on how a brain functions or processes different information, it is still unclear how a particular brain processing method would do good in the machine learning system. For this, researchers may have to try each possibility of how the brain processing methods into the various machine learning methods. 

On the other hand, one may also explore improving machine learning for identifying new areas of neuroscience. Artificial intelligence may open new doors of questions and new challenges in the study of neuroscience. 

Researchers are how individual neurons contribute to their overall network. It is also exploring the connectivity of neurons on a broader network to understand the impact of the interactions between two neurons. 

With a similar line of action and viewpoints, if research in the areas of neuroscience and artificial intelligence is explored further, it may do wonders bringing you the technology of the future. At the same time, it may contribute to achieving new and advanced ways of fighting with neurological disorders or adverse brain conditions. 

As the World International Conference Neuroscience and Neurology is coming up next year on 25-26 May 2023, it will be interesting to see if brain such studies can have scope for further discussion among eminent. Going through the list of all-conference alerts 2023, the conference that one should not miss the opportunity to speak about AI in the cognitive neurology discussions. 

Omnichannel: the future of retail?

by JSBConference -

Only when the retailers thought the industry would collapse, D-mart’s entry in India grew faster despite the e-commerce wave. However, the expectations of a retail customer have changed drastically in the past few years. Though the retail industry has evolved in the past decade, it is still trying best to match the expectations level. 

The role of retailers has changed ever since e-commerce has disrupted the retail industry with its constant technological advancements. The retail sector has had it tough due to the digital disruption and the growing admiration of customers to diverse digital platforms. 

India is emerging as the next big thing in the international retail market after economies such as China and the US. The big market players in the industry are fighting to win over the retail competitive landscape. 

As per recent market research reports, the Indian retail market is likely to cross $ 1 trillion marks. What more interesting is that the Indian e-commerce market has 51% CAGR -the highest in the world. 

Digital platforms are seeing immense growth in the retailing industry with almost every retailing model entering the digital world. In India, there remains a huge number of people who penetrate the internet on a daily basis for the last few years. With the increased use of smartphones, and secure mobile payment solutions, digital portals have got strengthened in the retail markets. 

The internet helps retailers understand their customers better in numerous ways. Each time a customer purchases goods online, it gives crucial information to the marketer that help improve the user experience and retain loyalty. 

Despite the digital incorporation is increasing in the retail industry, a major number of consumers still prefers to touch and feel the product while buying goods. Many customers do not pay until they are fully satisfied with the demo. 

To attract such customers, digital marketers came up with an easy return or exchange policy which has become popular for the retail industry. Having said that, off-line customer experience remains hassle-free to gain traction from such consumers. 

Besides, the online platforms face problems of cut-throat competition with more market entrants occupying market share.  

Why omnichannel is doing great for the retail industry?

The digital presence helps retails to know their customers better. 

  • It helps them connect personally and provide sublime experience in their visit. 
  • It works as a backup where the physical shops cannot reach out to customers in certain cases. 
  • With digital marketing, retailers can have a bigger reach for their physical shops and centers. 

On the other hand, even the online producers and marketers are trying their hands offline to get the little slice of offline retails industry. 

Amazon, one of the biggest market giants in India has captured a big part of the country in a short period.  The company also had acquisitions in whole goods in 2017. It extended its online capabilities with increased online branding on Amazon Prime and other platforms. 

As per retail industry analysis, the personalizing the experiences of customers are given the most importance in the retail markets. With omnipresent retail models, it is possible to gain an overall understanding of the customer’s expectations. By meeting the dynamic needs of the customers, omnipresent business models can have a long way to go in the retail industry. 

Is the Cannabis industry advancing in Nanotechnology?

by JSBConference -

Earlier this month, a study by researchers at The University of New Mexico, authenticated the use of cannabis for relieving pain with negligible side effects. The study used the method of rating from 0 to 10 of a pain level, where the rating approximately decreased by three points with the use of cannabis.

One of the researchers, Jacob Vigil claimed that it was the best substitute for opioids.   

The findings revealed that the positive feedback came from those who use dried cannabis flowers, primarily flowers with high THC levels.

However, it is said that cannabis is more efficacious in nano form. The patient can directly absorb it into their bloodstream, and the effect will be felt in less than 15 minutes. Here, the correlation between nanotechnology and cannabis pays off.

Nanotechnology will be the best source for drug delivery for the cannabis industry. Scientists have also validated the use of nanotechnology to deliver dose to the particular parts or cells of the body, which will catalyst the treatment process without damaging the other healthy cells in the body. 

As nanotechnology is emerging in the cannabis industry, researchers are finding further research and applications to gain more traction to the cannabis field. 

It is the art of manipulating matter at a very minute level. Uses of nanotechnology have driven the market to the next level. Various industries are developing growth opportunities and researching on nanoscience.

Business firms are also taking the initiative to implement nanotechnology in the cannabis industry. One such firm, Geyser brand, headquartered in British Columbia is pushing its limit to bring nanotechnology into its products. The company manufactures hemp-based consumer products such as cosmetics, nutraceuticals, food, and beverages. 

Geyser has come upon the formula that their products won’t have a bitter taste that other cannabis products have. This will be a key driving factor for the cannabis industry worldwide. 

Geyser suggested that China is a big market for them to deliver there manufactured products. They are extending their markets in Europe as well. The global cannabis industry is expected to grow at $130 billion in a decade, Geyser is set to be the leader within its sector.

Similarly, Nanosphere, a U.S based company, is one of the leading companies for the delivery of cannabis products. It’s Evolve Formula is the world’s only scientifically proven nanoparticle delivery system for cannabis. 

Some scientists also suggest using nanotechnology-based cannabis products cautiously. 

Dr. Richard Sayre, chief scientific officer, said that he is worried about the accumulation of emulsification agents in specific parts of the body such as the liver, lungs, and brain.

Nanotechnology has gained momentum in the cannabis industry, but there are still many drawbacks. The future emerging industries will see exponential growth in nanotechnology. Since its inception is beneficial if researchers deeply study, there can be ways where enterprises can adopt it on a large scale.

Though the implementation of nanotechnology is expensive, many developing countries are adopting it. Most developed countries have already adopted nanotechnology and are going into the depth of it.

This is just a scrap of nanotechnology. The upcoming conference in Italy will have a thorough discussion of several aspects and scope of nanotechnology.  The International Conference On Nanotechnology And Nanomaterials is going to take place at most historic place in Europe Rome, Italy on March 02-03, 2020.

Is AI boon to Ophthalmology?

by JSBConference -

Artificial Intelligence(AI) is playing a significant role in the industry and is applicable in most of the sectors. With the increasing number of visual problems, artificial intelligence has a lot to offer in the eye care sector as well. AI has a crucial role in the diagnosis and treatment of ophthalmic disease. 

A recent study suggests that AI has played an immense role in the identification of diabetic retinopathy. Researchers said that AI has matched the performance to diagnose diabetic retinopathy the same as done by the expert.  In fact, it has succeeded more than expected. It recognized the attributes from images that might indicate disease, of which the software was not even programmed.  AI on itself figured out by simply looking at other thousands of diseased and healthy eyes.

Artificial intelligence is the science that deals with computer algorithms, programs, and codes to learn, analyze, identify and interpret data.  AI is assumed to perform better than humans, especially in image recognition.  

Similarly, another research was conducted to detect glaucoma and VF loss with a visual field analysis. Usually, the detection of glaucoma takes time due to anatomical changes. If the disease is detected at an early stage then it will help to curb vision loss. Here came the innovation of an AI-based system to recognize patterns of visual field changes to detect the accurate problem and reduce time to identify it. This machine learning-based pattern was very effective in recognizing 25% to 50% of the eyes indicating VF loss than any other method. 

Scientists are finding more ways to incorporate artificial intelligence in eye care. They are aiming to use machine-learning techniques and algorithmic assessments to change the perspective of the eye care industry.

AI has also paved its way to give a new outlook to eye charts. The eye chart is dated back to the 19th century, has very low precision to detect vision ie. reading of the smallest letter. Due to its single dimension, it can prove insufficient to indicate vision loss or other changes in vision. The recent developed hardware/software platform is an algorithmic framework that executes active learning algorithms on a digital screen to rationalize the evaluation of human vision.

Zhong-Lin Lu, a chief scientist at New York University Shanghai is of the view that AI unified with neuroscience can help in testing vision better than an eye chart. He also said that AI can help in personalized aid services by using active learning principles to find an individual patient reaction and then modify the treatment accordingly.

AI and Machine Learning applications have proven beneficial for the eye care sector. When it comes to health-related disorders, proven results are a must. AI has stood to show its full potential in intelligent diagnosis in Ophthalmology. 

The upcoming conference on 22nd Asia Pacific Ophthalmologists Annual Meeting will have discussions on the latest technological advancement related to eye vision in 2023.