#medical technology company

[reasonsforhope]

Determined to use her skills to fight inequality, South African computer scientist Raesetje Sefala set to work to build algorithms flagging poverty hotspots - developing datasets she hopes will help target aid, new housing, or clinics.

From crop analysis to medical diagnostics, artificial intelligence (AI) is already used in essential tasks worldwide, but Sefala and a growing number of fellow African developers are pioneering it to tackle their continent's particular challenges.

Local knowledge is vital for designing AI-driven solutions that work, Sefala said.

"If you don't have people with diverse experiences doing the research, it's easy to interpret the data in ways that will marginalise others," the 26-year old said from her home in Johannesburg.

Africa is the world's youngest and fastest-growing continent, and tech experts say young, home-grown AI developers have a vital role to play in designing applications to address local problems.

"For Africa to get out of poverty, it will take innovation and this can be revolutionary, because it's Africans doing things for Africa on their own," said Cina Lawson, Togo's minister of digital economy and transformation.

"We need to use cutting-edge solutions to our problems, because you don't solve problems in 2022 using methods of 20 years ago," Lawson told the Thomson Reuters Foundation in a video interview from the West African country.

Digital rights groups warn about AI's use in surveillance and the risk of discrimination, but Sefala said it can also be used to "serve the people behind the data points". ...

'Delivering Health'

As COVID-19 spread around the world in early 2020, government officials in Togo realized urgent action was needed to support informal workers who account for about 80% of the country's workforce, Lawson said.

"If you decide that everybody stays home, it means that this particular person isn't going to eat that day, it's as simple as that," she said.

In 10 days, the government built a mobile payment platform - called Novissi - to distribute cash to the vulnerable.

The government paired up with Innovations for Poverty Action (IPA) think tank and the University of California, Berkeley, to build a poverty map of Togo using satellite imagery.

Using algorithms with the support of GiveDirectly, a nonprofit that uses AI to distribute cash transfers, the recipients earning less than $1.25 per day and living in the poorest districts were identified for a direct cash transfer.

"We texted them saying if you need financial help, please register," Lawson said, adding that beneficiaries' consent and data privacy had been prioritized.

The entire program reached 920,000 beneficiaries in need.

"Machine learning has the advantage of reaching so many people in a very short time and delivering help when people need it most," said Caroline Teti, a Kenya-based GiveDirectly director.

'Zero Representation'

Aiming to boost discussion about AI in Africa, computer scientists Benjamin Rosman and Ulrich Paquet co-founded the Deep Learning Indaba - a week-long gathering that started in South Africa - together with other colleagues in 2017.

"You used to get to the top AI conferences and there was zero representation from Africa, both in terms of papers and people, so we're all about finding cost effective ways to build a community," Paquet said in a video call.

In 2019, 27 smaller Indabas - called IndabaX - were rolled out across the continent, with some events hosting as many as 300 participants.

One of these offshoots was IndabaX Uganda, where founder Bruno Ssekiwere said participants shared information on using AI for social issues such as improving agriculture and treating malaria.

Another outcome from the South African Indaba was Masakhane - an organization that uses open-source, machine learning to translate African languages not typically found in online programs such as Google Translate.

On their site, the founders speak about the South African philosophy of "Ubuntu" - a term generally meaning "humanity" - as part of their organization's values.

"This philosophy calls for collaboration and participation and community," reads their site, a philosophy that Ssekiwere, Paquet, and Rosman said has now become the driving value for AI research in Africa.

Inclusion

Now that Sefala has built a dataset of South Africa's suburbs and townships, she plans to collaborate with domain experts and communities to refine it, deepen inequality research and improve the algorithms.

"Making datasets easily available opens the door for new mechanisms and techniques for policy-making around desegregation, housing, and access to economic opportunity," she said.

African AI leaders say building more complete datasets will also help tackle biases baked into algorithms.

"Imagine rolling out Novissi in Benin, Burkina Faso, Ghana, Ivory Coast ... then the algorithm will be trained with understanding poverty in West Africa," Lawson said.

"If there are ever ways to fight bias in tech, it's by increasing diverse datasets ... we need to contribute more," she said.

But contributing more will require increased funding for African projects and wider access to computer science education and technology in general, Sefala said.

Despite such obstacles, Lawson said "technology will be Africa's savior".

"Let's use what is cutting edge and apply it straight away or as a continent we will never get out of poverty," she said. "It's really as simple as that."

-via Good Good Good, February 16, 2022

[aurantia-ignis]

We have yet another "RANGER'S APPRENTICE MOVIE CONFIRMED AND COMING RIGHT UP!!" announcement I'll believe it when I see the trailers LOL

[lotus-surgical]

Ensuring high quality Key steps validating Medical Device Manufacturing

Discover the key steps Original Equipment Manufacturers follow to validate medical device production. Ensuring reliability, safety, and high-quality standards. Ensuring product safety, quality and compliance is crucial in the medical device industry for medical device manufacturing. OEMs play a vital role in the production process of medical devices. A strict validation process helps uphold standards to manufacture medical devices.

[grey-space-computing]

Healthcare Mobile App Development | Grey Space Computing

Grey Space Computing Provides Advanced Solutions for Healthcare Mobile App Development

The healthcare industry is rapidly evolving, embracing innovative technologies to improve patient care, streamline operations, and enhance overall efficiency. Discover the critical aspects of healthcare mobile app development and how Grey Space Computing stands out as a top choice for healthcare providers looking to innovate and optimize their services. Learn about the importance of healthcare mobile apps, key features, and future trends in this exciting field.

Read more.

[normal-thoughts-official]

So apparently some Swiss company found out that Brazilian blood has more immunoglobulin (which is used in some medications made by pharma companies) than European blood, and now international pharma companies are lobbying to change Brazilian law to allow them to use our blood as a resource

There is no current evidence that those things are related, but it just so happens that at the same time there is also another law being discussed that would get rid of "bureaucracy" when it comes to ethics analyses of trials on humans. It would also remove the right, which all brazilians currently have, to access to the medication resulting from the trials they participated in

Both sources are in Portuguese because both news have been recently broke by a Brazilian investigative news agency, but if you don't speak it, you can always use automatic translation

I know there's a lot of fucked up shit happening in the world right now, but please pay attention to medical rights in Brasil right now. Especially if you're European, because virtually every company related to this is from your continent and plans to benefit you above all

ETA: using blood as a resource for these medications is not new; however, current law in brasil only allows that use to come from donated blood (because it comes from the plasma and apparently not all of it is used in blood transfusion; I'm not a doctor so I'm not clear on the details but that's the gist of it) and to be processed and used by Hemobrás, the State-owned company that handles this type of medical technology. The new law would allow for private companies to buy our blood from blood banks for their use. It is worth noting that at least one company has already explicitly stated that they won't be making the resulting medication available in the Brazilian market, so, essentially, they will be taking blood Brazilians donated to help other Brazilians and using it to treat immunocompromised Europeans, to the detriment of immunocompromised Brazilians that need the medicine. In the process, they will be making it harder for our State-owned company to use that same blood, forcing us to import from them and therefore making the medication more expensive. They also want to make it possible for Brazilians to sell their own blood - a deeply ethically questionable practice that is discouraged by the WHO and that has led to HIV outbreaks in Brasil in the past

[globosetechnologysolution]

Medical Datasets represent the cornerstone of healthcare innovation in the AI era. Through careful analysis and interpretation, these datasets empower healthcare professionals to deliver more accurate diagnoses, personalized treatments, and proactive interventions. At Globose Technology Solutions, we are committed to harnessing the transformative power of medical datasets, pushing the boundaries of healthcare excellence, and ushering in a future where every patient will receive the care they deserve.

[mososimos]

Medical Billing Technology Trends

Stay abreast with the latest medical billing technology trends. From AI-driven automation to blockchain innovations, discover the game-changing technologies shaping the landscape. Transform your process with reliable medical billing services.

Check out the key role of technology in revolutionizing medical billing. Tech trends include artificial intelligence, telemedicine billing and more. https://www.outsourcestrategies.com/resources/technology-in-medical-billing/

[shamnadt]

5 things about AI you may have missed today: OpenAI's CLIP is biased, AI reunites family after 25 years, more

Study finds OpenAI’s CLIP is biased in favour of wealth and underrepresents poor nations; Retail giants harness AI to cut online clothing returns and enhance the customer experience; Northwell Health implements AI-driven device for rapid seizure detection; White House concerns grow over UAE’s rising influence in global AI race- this and more in our daily roundup. Let us take a look. 1. Study…

[curemd-emr]

Exploring the Role of Technology in Modern Medical Billing Companies

Source Link: https://www.storeboard.com/blogs/health/exploring-the-role-of-technology-in-modern-medical-billing-companies/5659576 The landscape of healthcare is continually evolving, and so is the field of medical billing. Gone are the days of manual, paper-based billing processes. Modern medical billing companies have embraced technology to streamline operations, increase efficiency, and…

[webdevelopment-ecommerce]

Exploring the Best Shopify Stores for Healthcare: Revolutionizing the Online Health Experience

The healthcare industry is rapidly evolving, and the digital landscape has become an essential part of providing medical services. Shopify, known for its robust eCommerce capabilities, has emerged as a platform of choice for healthcare providers looking to establish a strong online presence. In this blog post, we will highlight some of the best Shopify stores for healthcare that are redefining the way medical products, services, and information are accessed and delivered online. From seamless user experiences to innovative product offerings, these Shopify stores showcase the transformative power of technology in the healthcare sector.

[lotus-surgical]

Vicryl Sutures and Surgical Needles: Innovations in Surgical Wound Management

In the ever-evolving world of medical technology, advancements in surgical wound management are crucial for improving patient outcomes. Sutures and needles, the fundamental tools of wound closure, have seen significant innovations in recent years. Among the most notable developments are Vicryl Sutures and the latest designs in Surgical Needles, both of which are transforming the way surgeons handle wound management across a variety of procedures.

[perfectiongeeks]

How AI Services Can Help You Medical Sector?

Artificial Intelligence services have the potential to revolutionize the medical sector by transforming various aspects of healthcare delivery, research, and patient care. From diagnosing diseases to streamlining administrative tasks, AI is making significant advancements in the medical field. In this article, we will explore how AI services can help the medical sector in improving patient outcomes, increasing operational efficiency, and driving medical innovations.

Disease Diagnosis and Medical Imaging: AI-powered diagnostic tools and medical imaging technologies can analyze medical images, such as X-rays, CT scans, and MRIs, to assist healthcare professionals in accurate and timely disease detection. AI algorithms can detect anomalies, identify patterns, and provide insights to aid in the diagnosis of conditions like cancer, cardiovascular diseases, and neurological disorders. By augmenting the expertise of medical professionals, AI helps improve diagnostic accuracy, enabling early intervention and better patient outcomes.

Personalized Treatment Plans: AI services can analyze vast amounts of patient data, including medical records, genetic information, and treatment outcomes, to develop personalized treatment plans. Machine learning algorithms can identify patterns and predict individual patient responses to specific therapies, medications, or interventions. This personalized approach enhances treatment efficacy, minimizes adverse effects, and improves patient satisfaction.

Drug Discovery and Development: AI services are transforming the drug discovery and development process. Machine learning algorithms can analyze vast databases of genetic information, molecular structures, and scientific literature to identify potential drug targets and predict drug efficacy. AI can accelerate the identification of new drug candidates, optimize drug formulation, and support clinical trial design, leading to faster and more effective drug development.

Remote Patient Monitoring: AI-powered remote patient monitoring systems enable healthcare providers to remotely collect and analyze patient data, such as vital signs, activity levels, and medication adherence. AI algorithms can detect abnormal patterns or deviations, alerting healthcare professionals to intervene when necessary. Remote patient monitoring improves patient engagement, facilitates early intervention, and reduces hospital readmissions, particularly for chronic conditions.

Administrative Efficiency and Workflow Optimization: AI services can streamline administrative tasks and optimize healthcare workflows, allowing healthcare professionals to focus more on patient care. AI-powered chatbots and virtual assistants can handle appointment scheduling, answer basic patient inquiries, and provide educational resources. Natural Language Processing (NLP) algorithms can analyze clinical documentation, extracting relevant information and automating data entry. This automation reduces administrative burden, minimizes errors, and enhances overall efficiency.

Precision Medicine and Genomics: AI plays a crucial role in the field of precision medicine by leveraging genomic data to develop tailored treatment plans based on a patient’s genetic profile. AI algorithms can analyze genetic data, identify disease markers, and predict disease risk, enabling personalized interventions and targeted therapies. AI also facilitates the integration of genomics into routine clinical practice, contributing to more precise and effective healthcare delivery.

Public Health Monitoring and Outbreak Prediction: AI services can monitor and analyze vast amounts of data from multiple sources, including social media, electronic health records, and public health databases, to detect disease outbreaks and monitor population health trends. AI algorithms can identify patterns, assess risk factors, and predict disease spread, enabling timely interventions, resource allocation, and proactive public health measures.

Conclusion: Artificial Intelligence services have the potential to transform the medical sector by improving diagnosis accuracy, facilitating personalized treatments, accelerating drug discovery, enhancing patient monitoring, optimizing workflows, and contributing to medical research and innovations. As AI continues to evolve, it is essential for healthcare professionals, researchers, and policymakers to embrace its capabilities responsibly, ensuring patient privacy, data security, and ethical considerations are prioritized. By harnessing the power of AI, the medical sector can significantly improve patient care, increase operational efficiency, and pave the way for groundbreaking advancements in healthcare.

[grey-space-computing]

Grey Space Computing Provides Advanced Solutions for Healthcare Mobile App Development

The healthcare industry is rapidly evolving, embracing innovative technologies to improve patient care, streamline operations, and enhance overall efficiency. This article explores the critical aspects of healthcare mobile app development and how Grey Space Computing stands out as a top choice for healthcare providers looking to innovate and optimize their services.

Understanding the Importance of Healthcare Mobile Apps

The Rise of Digital Health Solutions

The healthcare industry has witnessed a significant shift towards digital health solutions in recent years. Mobile apps have become indispensable tools for both healthcare providers and patients, offering numerous benefits such as improved accessibility to medical services, enhanced patient engagement, and streamlined administrative processes.

Benefits of Healthcare Mobile Apps

Enhanced Patient Engagement: Mobile apps enable patients to actively participate in their healthcare journey, providing easy access to medical records, appointment scheduling, and personalized health information.

Improved Efficiency: Healthcare providers can leverage mobile apps to streamline administrative tasks, reduce paperwork, and enhance communication with patients, leading to more efficient operations.

Remote Monitoring and Telemedicine: Mobile apps facilitate remote monitoring of patients, enabling healthcare providers to offer telemedicine services and monitor chronic conditions from a distance.

Data Analytics and Insights: Mobile apps collect valuable data that can be analyzed to gain insights into patient behavior, treatment outcomes, and overall healthcare trends.

Key Features of Healthcare Mobile Apps

User-Friendly Interface

An intuitive interface is essential for any mobile app’s success. Healthcare apps must be intuitive, easy to navigate, and accessible to users of all ages and technical abilities.

Security and Privacy

Considering the sensitive nature of healthcare data, ensuring security and privacy is of utmost importance. Healthcare mobile apps must comply with industry standards and regulations such as HIPAA (Health Insurance Portability and Accountability Act) to ensure the protection of patient information.

Integration with Health Systems

Effective healthcare mobile apps seamlessly integrate with existing health systems, such as Electronic Health Records (EHR) and Hospital Management Systems (HMS), to provide a comprehensive and cohesive user experience.

Real-Time Communication

Real-time communication features, such as chat and video conferencing, are essential for facilitating timely interactions between patients and healthcare providers.

Personalization

Personalized features, such as tailored health recommendations, medication reminders, and customized care plans, enhance the user experience and improve patient outcomes.

Grey Space Computing: Leading the Way in Healthcare Mobile App Development

Expertise in Healthcare Technology

Grey Space Computing boasts extensive experience and expertise in healthcare technology. Their team of skilled developers and healthcare professionals collaborates to create innovative solutions tailored to the unique needs of the healthcare industry.

Comprehensive Development Process

Grey Space Computing follows a comprehensive development process that includes:

Requirement Analysis: Understanding the specific needs and goals of the healthcare provider to develop a customized solution.

Design and Prototyping: Creating user-friendly designs and interactive prototypes to ensure an optimal user experience.

Development and Testing: Utilizing advanced technologies and rigorous testing to develop a high-quality, secure, and reliable mobile app.

Deployment and Support: Providing seamless deployment and ongoing support to ensure the app’s continued success and effectiveness.

Cutting-Edge Technologies

Grey Space Computing leverages cutting-edge technologies such as artificial intelligence, machine learning, and blockchain to enhance the functionality and security of healthcare mobile apps.

Compliance and Security

Compliance with healthcare regulations and standards is a top priority for Grey Space Computing. They ensure that all mobile apps meet the necessary security and privacy requirements to protect patient data.

Future Trends in Healthcare Mobile App Development

AI and Machine Learning

Artificial intelligence and machine learning are poised to revolutionize healthcare mobile apps by enabling predictive analytics, personalized treatment plans, and advanced diagnostic capabilities.

Wearable Integration

The integration of wearable devices with mobile apps will provide real-time health monitoring and data collection, empowering patients to take a proactive approach to their health.

Blockchain for Data Security

Blockchain technology offers a secure and transparent method for managing healthcare data, ensuring the integrity and privacy of patient information.

Augmented Reality (AR) and Virtual Reality (VR)

AR and VR technologies have the potential to enhance medical training, patient education, and treatment planning through immersive and interactive experiences.

How to Choose the Right Healthcare Mobile App Development Partner

Assessing Expertise and Experience

When choosing a development partner, it’s essential to assess their expertise and experience in healthcare technology. Look for a partner with a proven track record of successful healthcare app development projects.

Evaluating Technical Capabilities

Ensure that the development partner has the technical capabilities to deliver a high-quality, secure, and reliable mobile app. This includes expertise in the latest technologies and compliance with industry standards.

Understanding Customization and Support

A good development partner should offer customized solutions tailored to your specific needs and provide ongoing support to ensure the app’s continued success.

Reviewing Client Testimonials and Case Studies

Client testimonials and case studies provide valuable insights into the development partner’s capabilities and the success of their previous projects.

Getting Started with Grey Space Computing

Starting your healthcare mobile app development journey with Grey Space Computing is simple. Contact their team for a consultation to discuss your specific needs and explore how their advanced solutions can help transform your healthcare services.

Conclusion

Grey Space Computing stands out as a leading provider of advanced healthcare mobile app development solutions. Their expertise, comprehensive development process, and commitment to security and compliance make them the ideal partner for healthcare providers looking to innovate and optimize their services. By leveraging the latest technologies and providing customized solutions, Grey Space Computing helps healthcare organizations enhance patient care, improve operational efficiency, and stay ahead in the rapidly evolving digital health landscape.

FAQs

Q1: What types of healthcare mobile apps does Grey Space Computing develop?

Grey Space Computing develops a wide range of healthcare mobile apps, including patient engagement apps, telemedicine apps, administrative apps, and remote monitoring apps.

Q2: How does Grey Space Computing ensure the security of healthcare mobile apps?

Grey Space Computing prioritizes security by complying with industry standards and regulations, implementing advanced security measures, and regularly testing for vulnerabilities.

Q3: Can Grey Space Computing integrate wearable devices with mobile apps?

Yes, Grey Space Computing has the expertise to integrate wearable devices with mobile apps, enabling real-time health monitoring and data collection.

Q4: What technologies does Grey Space Computing use in healthcare mobile app development?

Grey Space Computing utilizes cutting-edge technologies such as artificial intelligence, machine learning, blockchain, augmented reality, and virtual reality in healthcare mobile app development.

Q5: How can I get started with Grey Space Computing for my healthcare mobile app development project?

Contact Grey Space Computing for a consultation to discuss your specific needs and explore how their advanced solutions can help transform your healthcare services.

[coldpenguintaco]

Strategic Partnerships and Technological Innovations Drive Medical Coatings Market| MarketsandMarkets™

Medical coatings are specialized coatings used in the medical industry. Their purpose is to protect medical equipment, devices, and components from corrosion, abrasion, bacteria, and other contaminants. They also provide insulation, lubrication, and other functional benefits. Common medical coatings include silicone, polyurethane, epoxy, and PTFE. The demand for medical coatings continues to grow…