healthcare technology

The world of healthcare is ever-evolving. We are learning and growing every day, which means we are also coming up with new ideas, technologies, and practices every day.

what emerging technologies in Health IT are currently shaping the landscape,

and how do they contribute to improved patient outcomes and healthcare delivery?

This Healthcare IT today's article has a collection of opinions from people from the ever growing digital health community.

includes thoughts like

- proactive patient communication and automated text updates for patient approved people

- using adaptive AI for patient communication

- using AI in billing to bring about a fairness to costs

- using ambient documentation to improve patient provider connections in the presence of an EHR

- use of digital therapeutics

amongst others

read the article at

https://www.healthcareittoday.com/2024/02/12/emerging-technologies-shaping-the-health-it-landscape-and-how-they-contribute-to-improving-patient-outcomes-and-healthcare-delivery/

Data encoded on DNA could last 500 years! Check out a new DNA decoder that can read data at 330 gigabits per square centimeter

Years ago, the world marveled as it recognized that more human information was created on the internet than had been written in thousands of years of human history. But with the information age growing more complex by the day, we may have to look at new ways of storing information, and it turns out the DNA we're made of might hold the key to the ultimate organic hard drive.

A team of scientists has developed a new way of storing data, using pegs and pegboards composed of DNA, which can be retrieved via microscope, in a molecular variant of the traditional Lite-Brite, according to a recent study published in the journal Nature Communications.

The prototype can store information in DNA strands with a 10-nanometer space between them. This distance is less than one-thousandth of the diameter of a human hair, and roughly one-hundredth the size of a living bacterium.

The team tested a digital nucleic acid memory (dNAM) with the storage of a simple statement: "Data is in our DNA/n." Earlier attempts to retrieve data stored in DNA called for DNA sequencing, which involves reading the genetic code of DNA strands — which is a critical tool in biology and medicine, but not very efficient for DNA memory.

Data stored on DNA strands can last for 500 years

Using a microscope, the team imaged hundreds of thousands of DNA pegs in one recording, allowing for an error-correction algorithm to retrieve all data. Once all of the bits were organized via algorithms, the prototype DNA decoder could read data at 330 gigabits per square centimeter. While this technology likely won't show up in smartphones or laptops in the near future, DNA storage has incredible potential for archival use. In case you missed it, DNA evolved to store unconscionable amounts of data. If we knew how, our genes could store all of the emails, tweets, songs, photos, films, and books that ever existed in a DNA volume the size of a jewelry box.

read the original version of this interesting article at https://interestingengineering.com/dna-could-store-every-tweet-movie-book-and-more-in-a-jewelry-box-sized-device

This week, the academic community provided a rather impressive example of the promise of neural implants. Using an implant, a paralyzed individual managed to type out roughly 90 characters per minute simply by imagining that he was writing those characters out by hand

Dreaming is doing

Previous attempts at providing typing capabilities to paralyzed people via implants have involved giving subjects a virtual keyboard and letting them maneuver a cursor with their mind. The process is effective but slow, and it requires the user's full attention, as the subject has to track the progress of the cursor and determine when to perform the equivalent of a key press. It also requires the user to spend the time to learn how to control the system.

But there are other possible routes to getting characters out of the brain and onto the page. Somewhere in our writing thought process, we form the intention of using a specific character, and using an implant to track this intention could potentially work. Unfortunately, the process is not especially well understood.

Downstream of that intention, a decision is transmitted to the motor cortex, where it's translated into actions. Again, there's an intent stage, where the motor cortex determines it will form the letter (by typing or writing, for example), which is then translated into the specific muscle motions required to perform the action. These processes are much better understood, and they're what the research team targeted for their new work.

Disclaimer: Not even a prototype

As the researchers themselves put it, this "is not yet a complete, clinically viable system." To begin with, it has only been used in a single individual, so we have no idea how well it might work for others. The simplified alphabet used here doesn't contain any digits, capital letters, or most forms of punctuation. And the behavior of the implants changes over time, perhaps because of minor shifts relative to the neurons they read or the build-up of scar tissue, so the system had to be recalibrated regularly—at least once per week to maintain a tolerable error rate

read the research at http://dx.doi.org/10.1038/s41586-021-03506-2

related code : https://github.com/fwillett/handwritingBCI

read the article in its complete and unedited form at https://arstechnica.com/science/2021/05/neural-implant-lets-paralyzed-person-type-by-imagining-writing/

Scientists have fabricated a device that can mimic human brain cognitive actions and is more efficient than conventional techniques in emulating artificial intelligence, thus enhancing the computational speed and power consumption efficiency.

Artificial intelligence is now a part of our daily lives, starting from email filters and smart replies in communication to helping battle the Covid-19 pandemic. But AI can do much more such as facilitate self-driving autonomous vehicles, augmented reality for healthcare, drug discovery, big data handling, real-time pattern/image recognition, solving real-world problems, and so on.

These can be realised with the help of a neuromorphic device which can mimic the human brain synapse to bring about brain-inspired efficient computing ability. The human brain comprises of nearly a hundred billion neurons consisting of axons and dendrites. These neurons massively interconnect with each other via axons and dendrites, forming colossal junctions called synapse.

This complex bio-neural network is believed to give rise to superior cognitive abilities.

Software-based artificial neural networks (ANN) can be seen defeating humans in games or helping handle the Covid-19 situation. However, the power-hungry (in megawatts) von Neumann computer architecture slows down ANNs performance due to the available serial processing while the brain does the job via parallel processing consuming just 20 W. It is estimated that the brain consumes 20% of the total body energy. From the calory conversion, it amounts to 20 watts. While the conventional computing platforms consume megawatts, i.e., 1 million watts of energy, to mimic basic human cognition.

To overcome this bottleneck, a hardware-based solution involves an artificial synaptic device that, unlike transistors, could emulate the functions of human brain synapse. Scientists had long been trying to develop a synaptic device that can mimic complex psychological behaviors without the aid of external supporting (CMOS) circuits.

To address this challenge, Scientists from Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru, an autonomous institute of the Department of Science & Technology, Government of India, devised a novel approach of fabricating an artificial synaptic network (ASN) resembling the biological neural network via a simple self-forming method (the device structure is formed by itself while heating). This work has been recently published in the journal ‘Materials Horizons’.

“Nature has had an incredible amount of time and diversity to engineer ever new forms and functions through evolution. Learning and emulating new processes, technologies, materials and devices from the nature and biology are the important pathways to the significant advances of the future which will increasingly integrate the worlds of the living with the man-made technologies,” said Prof Ashutosh Sharma, Secretary, DST.

read the original unedited post at https://www.indianext.co.in/2021/06/scientists-develop-efficient-artificial-synaptic-network-that-mimics-human-brain/