Hacker News

MARCH 17, 2024

This Medical News article discusses a new US National Institutes of Health study of patients with the chronic—and chronically misunderstood—disease.

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Flipboard

NOVEMBER 29, 2023

Artificial intelligence (AI) is already being used in health care. AI can look for patterns in medical images to help diagnose disease. It can help …

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Dataconomy

AUGUST 8, 2023

In the aftermath of the global trauma of COVID-19, humanity may be faced with a new potential threat: Disease X. Indeed, the work has already begun on a Disease X vaccine. What is Disease X? Disease X symbolizes a theoretical, presently unidentified pathogen. Hopefully we can prevent it [a pandemic].

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Data Science Dojo

SEPTEMBER 25, 2023

This technology has the potential to revolutionize healthcare by providing new ways to diagnose diseases, develop new treatments, and improve patient care. These virtual patients can be used to train doctors and nurses on how to diagnose diseases. It provides a safe environment to practice diagnosing diseases and conditions.

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Flipboard

JANUARY 8, 2024

NuraLogix this week unveiled the Anura MagicMirror, a new health product that is designed to use a combination of sensors and artificial intelligence to check vital signs and provide disease risk assessments. inch tabletop smart mirror takes a 30 second scan when a person sits in front of …

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Flipboard

OCTOBER 6, 2023

Despite the remarkable success in development of vaccines to prevent severe disease from SARS-CoV-2, it remains unclear how SARS-CoV-2, a newly emerging virus, causes such a broad spectrum of disease , ranging from asymptomatic and mild cases to severe disease and death. Read the rest…

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Dataconomy

MAY 4, 2023

Machine learning applications in healthcare are rapidly advancing, transforming the way medical professionals diagnose, treat, and prevent diseases. From personalized medicine to disease prevention, the possibilities are endless. Let’s discover some notable applications in this area.

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Analytics Vidhya

JANUARY 3, 2022

INTRODUCTION Fig 1 – Source: Canva The ongoing Coronavirus disease (COVID-19) outbreak has driven health to the top of the priority in our lives, bringing the entire world to a halt. This article was published as a part of the Data Science Blogathon. Since its inception, our way of life has drastically changed.

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Hacker News

NOVEMBER 24, 2023

We explore the role of this hematopoietic output on CNS health, focusing on the supply of immune cells during health and disease. Here, the authors discuss the anatomy, functions and implications of this immune reservoir on CNS health and disease.

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SAS Software

JANUARY 16, 2024

Declining childhood immunization rates threaten to allow previously eradicated diseases like measles to become endemic again. [.] Visualizing the future of public health through data modeling was published on SAS Voices by Meg Schaeffer

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Flipboard

AUGUST 21, 2023

Turns out the windows to the soul can teach us a lot about our own health. When it comes to neurodegenerative diseases like Alzheimer’s or …

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Machine Learning Research at Apple

JANUARY 21, 2024

This paper was accepted at the workshop Deep Generative Models for Health at NeurIPS 2023. Cardiovascular diseases (CVDs) are a major global health concern, making the longitudinal monitoring of cardiovascular biomarkers vital for early diagnosis and intervention.

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Dataconomy

OCTOBER 11, 2022

The National Institutes of Health is funding a big research project to collect voice data and develop artificial intelligence capable of diagnosing patients based on their speech. Scientists may even be able to detect unhappiness or disease from a person’s speech. The program is a collaboration between USF, Cornell, and.

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Dataconomy

FEBRUARY 16, 2024

The COVID-19 pandemic had a significant impact on healthcare systems across the globe, bringing about socio-economic burdens, loss of lives, and a surge in mental health crises. AI has the potential to act as a triage system in early disease detection. Diabetes can be a deadly disease that is either of type 1 or type 2.

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Flipboard

JULY 13, 2023

Despite advances in molecular biology, genetics, computation, and medicinal chemistry, infectious disease remains an ominous threat to public health. …

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Flipboard

JULY 29, 2023

Twinn Health is focused on metabolic diseases like diabetes, high blood pressure, and obesity. A British startup in the health tech space has unveiled …

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Flipboard

APRIL 27, 2023

They trumpet the technology in press releases, plaster its use on billboards, and sprinkle AI into speeches touting its ability to detect diseases earlier and make health care faster, better, and cheaper. In public, hospitals rave about artificial intelligence. Read the rest…

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Dataconomy

APRIL 24, 2023

Having ushered in in new ways of fighting disease and improving the lives of patients, we are using data science to help us better identify people at risk of certain diseases, find candidates for clinical trials, develop new therapies, and respond to real and potential disease outbreaks.

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ODSC - Open Data Science

MAY 2, 2024

Traditionally, assessing cardiovascular risks through CT scans involves the use of contrast agents, which can pose risks to patients with certain health conditions. Slomka’s team has developed a novel AI algorithm that extracts critical heart health insights from standard, less costly scans that use minimal radiation.

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Flipboard

JULY 17, 2023

Researchers developed AI software that rapidly analyzes bone density scans to predict a person's future risk of health conditions, such as heart attacks, stroke, falls, fractures, and dementia. The software looks for signs of abdominal aortic calcification (AAC), a predictor of these conditions.

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Dataconomy

MARCH 4, 2024

This ambitious project, led by the Indian government and scientists from 20 top research institutes, aims to uncover genetic factors associated with diseases, identify unique genetic traits specific to Indian populations, and ultimately facilitate the development of personalized healthcare solutions tailored to the genetic profiles of individuals.

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Data Science Dojo

MAY 8, 2024

AI-powered chatbots and virtual assistants are also being used to provide personalized healthcare recommendations and support mental health services. For instance, AI algorithms can analyze medical images like X-rays and MRIs to detect abnormalities and assist radiologists in making accurate diagnoses.

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Defined.ai blog

APRIL 20, 2023

Health data is an extremely personal topic for many individuals, and the laws and regulations reflect this sensitivity. This dataset, provided through one of our valued partners, consists of thousands of health check-up screenings. What is this in this predictive health dataset? Why are we excited about this dataset?

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Smart Data Collective

SEPTEMBER 16, 2022

Worldwide, chronic diseases like diabetes , heart disease, lung disease, Alzheimer’s, and kidney disease affect 1 in 3 individuals. Most of the time, people may avoid and treat chronic diseases by altering their lifestyles and receiving preventative treatment. Increased Attention to Mental Health Wellbeing.

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Dataconomy

JULY 26, 2018

Diabetes is a disease that trifles victims on a world-wide scale and as big data and artificial intelligence (AI) become more innovative, so are methods of treating diabetes. The post HOW HEALTH TECH STARTUPS USE BIG DATA AND AI TO TRANSFORM DIABETES CARE IN 2018 appeared first on Dataconomy.

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Heartbeat

OCTOBER 23, 2023

This article explores the profound impact of health informatics, focusing on data scientists and machine learning engineers who play a pivotal role in leveraging data-driven approaches to revolutionize healthcare.

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Hacker News

MAY 1, 2024

Early onset Parkinson’s disease, diagnosed at age 49, had disabled him, ended his bartending career, and led him to consider suicide. NEW YORK — By the time Peter Bauman considered deep brain stimulation, he was desperate.

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Dataconomy

NOVEMBER 7, 2017

When we think about the future, we might imagine flying cars, superior technology and the potential to cure all diseases, extend our lifespan and improve the general health of world’s population. These hopes are more or less realistic, but this is so in lare part thanks to the advancement of.

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ODSC - Open Data Science

JANUARY 22, 2024

This consisted of deliberate education for both the patient and caregiver on the importance of diabetic eye disease. Wolf continued, “ If we can offer this more conveniently at the point of care with their diabetes doctor, then we can also potentially improve health equity, and prevent the progression of diabetic eye disease. ”.

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FlowingData

JANUARY 4, 2022

May Louise Kelly for NPR spoke briefly with biostatistics professor Natalie Dean on the omicron surge and what we can take away from the data : Yeah, I mean, the public health impact is made up a lot of different things, and we’re most acutely interested in severe disease and death.

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Data Science Connect

JULY 24, 2023

With the USDA’s investment, data scientists can develop and deploy sophisticated sensors, drones, and Internet of Things (IoT) devices to monitor soil moisture, nutrient levels, and crop health. Data scientists have a critical role in developing innovative technologies that support sustainable forest management and conservation.

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Data Science Dojo

MARCH 19, 2024

This demands specialized tools that can focus on relevant aspects of a particular disease, assisting doctors in making accurate diagnoses for their patients. Improved classification of skin diseases Each skin condition, such as dermatitis, eczema, and psoriasis, shows up differently on a medical image.

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Flipboard

APRIL 13, 2023

The model is trained on large quantities of medical texts from the company’s 28 health system partners, representing 16% of patient care in the U.S. Cancer researchers might use the platform to flag disease progression and the need for a shift in treatment. billion medication orders due to its relationships with major health systems.

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NYU Center for Data Science

NOVEMBER 23, 2022

The model’s datasets are currently the largest publicly available for studying dementia CDS PhD student, Sheng Liu Alzheimer’s is the most prevalent form of dementia, and early diagnosis of the disease is essential to clinical trials and necessary treatments. Machine learning has proved to be an effective method for medical disease detection.

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Google Research AI blog

MARCH 24, 2023

In “ A deep learning model for novel systemic biomarkers in photos of the external eye: a retrospective study ”, published in Lancet Digital Health , we show that a number of systemic biomarkers spanning several organ systems (e.g., Prediction task Organ system Significance for associated diseases Albumin 36.0 blood pressure).

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ODSC - Open Data Science

FEBRUARY 14, 2024

This discovery is significant as it represents a major step towards developing non-invasive blood tests capable of detecting Alzheimer’s disease and other dementias at a pre-symptomatic stage. If proven to be reliable these tests could help pave the way for preventative treatment for the disease. So how did the study work?

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phData

MAY 4, 2023

In today’s data-driven world, healthcare organizations generate massive amounts of data, including electronic health records, clinical data, patient feedback, and more. These diseases require ongoing management and monitoring and can be costly for patients and healthcare providers.

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