The project will train a newly developed AI system on data collected from participating men and women Researchers from the University of Glasgow’s James Watt School of Engineering are aiming to ensure that artificial intelligence (AI)-based healthcare monitoring systems in the future are free of gender bias, to improve care for both men and women. For 18 months, the project will examine the potential for gender bias in healthcare AI and discover ways to ensure that AI-supported treatment remains equitable. The use of cutting-edge sensors is currently being investigated to track the rhythms of patients’ hearts and lungs without requiring them to wear monitoring devices or be recorded on video cameras. The team aims to address and ensure that its AI component is properly trained and capable of making the correct judgements without bias towards one gender of patients. Supported by £8,200 in funding from the Université Paris Dauphine-PSL’s Women ...
Recently, U.S. President Joe Biden officially signed the “Executive Order on Preventing Countries of Concern from Obtaining Extensive Sensitive Personal Data of U.S. Citizens and U.S. Government-Related Data,” calling for measures to be taken to prevent “bad actors” and “countries of concern” from abusing data related to the United States. Various types of data about citizens, including genomic data, biometric data, personal health data, geolocation data, financial data and other types of personally identifiable information. The executive order may pose new challenges to Chinese life sciences companies operating in the United States. The order requires the Departments of Justice, Homeland Security, Health and Human Services, Veterans Affairs and other agencies to take a variety of actions over the next 12 months, including: Ministry of Justice: Regulations will be enacted to govern cross-border transfers of large-scale data related to genomics, biometrics, personal health data, geolocation and the above areas, including a ...
Hainan Shuangcheng Pharmaceuticals was approved by the State Drug Administration to issue Drug Registration Certificate to Octreotide Acetate Injection. Basic drug information 1, drug name: octreotide acetate injection 2、Dosage form: Injection 3、Specifications: 1ml:0.1mg (C₄₉H₆₆₁₀O₁₀S₂) 4、Registration Classification: Class 4 chemical drugs 5、Drug Approval Number: State Drug License H20243223 6、Prescription drug/over-the-counter drug: prescription drug 7、Listed Licensee: Hainan Shuangcheng Pharmaceutical Co. 8、Manufacturer: Hainan Shuangcheng Pharmaceutical Co. 9, Production Address: Haikou City, Xiuying District, No. 16 Xingguo Road Approved indications Octreotide acetate injection is indicated for the control of symptoms and reduction of plasma levels of growth hormone (GH) and insulin-like growth factor-1 (IGF-1) in patients with acromegaly who are unable or unwilling to undergo surgery or radiation therapy. Treatment of patients with acromegaly who are unable or unwilling to undergo surgery, or treatment of patients with intermittent acromegaly for whom radiation therapy has not yet taken effect; alleviation of symptoms ...
The non-invasive tool can also improve patient stratification and monitor disease progression Researchers from King’s College London (KCL) have developed a deep learning framework for a non-invasive brain-age prediction tool for the early diagnosis of neurological diseases. The study built and made available a set of models for clinical use after training multiple brain models from a variety of magnetic resonance image (MRI) types. Neurological disorders, such as Alzheimer’s disease, strokes, multiple sclerosis and Parkinson’s disease, are conditions that affect the brain as well as the nerves found throughout the human body and spinal cord. By comparing patients’ brain ages against their chronological ages, numerous neurological and psychiatric conditions can be identified, helping to predict future health outcomes for patients. Researchers collected over 81,000 patients’ head MRI examinations from Guy’s and St Thomas’ NHS Foundation Trust and King’s College Hospital NHS Foundation Trust between 2008 and 2019. After pre-training models, ...
In the UK alone, the aggressive form of cancer affects around 52,000 men every year Researchers from the University of Oxford and the University of Manchester have revealed that prostate cancer is not just a single disease and is made up of two different evotypes – subtypes of the disease. Published in Cell Genomics, the study, funded by Cancer Research UK and Prostate Cancer Research, used artificial intelligence (AI) to reveal a new form of aggressive prostate cancer. Currently the most common cancer affecting men in the UK, prostate cancer is responsible for around 52,000 cases every year. As part of the Pan Prostate Cancer Group; an international consortium set up by the Institute of Cancer Research (ICR) and the University of East Anglia (UEA), researchers applied AI to analyse the genetic data of 159 prostate cancer patient samples across nine countries. Using whole genome sequencing to study changes in ...
Malaria continues to pose a major global health threat, with approximately 247 million cases and over 600,000 deaths annually, predominantly in sub-Saharan Africa. Particularly alarming is cerebral malaria, a severe form of the disease, which has a high mortality rate, especially among children under five. The existing rapid diagnostic tests (RDTs) for malaria offer a basic positive or negative result, but often fail to detect asymptomatic infections and lack the sensitivity required for early detection of severe cases. More sensitive molecular assays that exist are costly, time-consuming, and need specialized skills and equipment, rendering them unsuitable for widespread application in areas with limited resources. In light of these challenges, researchers have now developed a new test for diagnosing malaria that is both rapid and accurate. This POC rapid malaria test offers a significant improvement over traditional tests and will be especially beneficial for rural areas with limited healthcare facilities. Researchers ...
TMR-CT will help doctors select treatment and predict the spread of lung cancer in patients Imperial College London (ICL) researchers have used artificial intelligence (AI) to identify information about the chemical makeup of lung tumours from medical scans of lung cancer. Published in npj Precision Oncology, the study demonstrates, for the first time, how medical imaging in combination with AI can be used to provide ‘virtual biopsies’ for cancer patients. Responsible for around 35,000 deaths each year, lung cancer is the most common cause of cancer death in the UK. Supported with funding from the National Institute for Health and Care Research’s Imperial Biomedical Research Centre, the non-invasive method works to classify the type of lung cancer patients have. Researchers used data from 48 lung cancer patients recruited from University Hospital Reina Sofia in Spain to develop an AI-powered, deep learning assessment tool called tissue-metabolomic-radiomic-CT (TMR-CT). Using the data, researchers ...
Recently, Anrotinib Hydrochloride Capsules and anti-PD-L1 “Behmosubaisumab (TQB2450 Injection)” developed by Zhengda Tianqing have submitted a new indication application to the Center for Drug Evaluation of the State Drug Administration (CDE), which has been accepted, with the indications of non-microsatellite patients who have previously failed to receive or cannot tolerate the first- or second-line chemotherapy regimens. Recurrent or metastatic endometrial cancer that is not microsatellite highly unstable (non-MSI-H) or non-DNA mismatch repair defective (non-dMMR), or intolerant. Bemosumab is an innovative, fully humanized anti-PD-L1 monoclonal antibody with a new sequence developed by AstraZeneca.In April 2022, Bemosumab in combination with amrutinib hydrochloride capsules for the treatment of recurrent or metastatic endometrial cancer was included in the Breakthrough Therapeutic Classification by the CDE.In January 2023, Bemosumab’s application for marketing in the first-line treatment of recurrent or metastatic endometrial cancer in combination with amrutinib hydrochloride capsules was formally accepted by the CDE.The application was ...
It is important for doctors to rapidly and accurately identify prevalent respiratory pathogens like COVID-19, influenza A and B, RSV-A, and RSV-B for administering prompt, tailored treatment to infected individuals. In a significant advancement, a near-patient test system using automation technology detects pathogens with unrivaled speed and cuts the typical waiting time of 24 to 48 hours to just one to two hours without the need for expensive biosafe laboratories. Fast MDx Limited (Middlesex, UK) and Festo (London, UK) have jointly designed and developed the world’s first, low-cost, high-throughput, near-patient molecular diagnostic test system that will provide clinicians with earlier, more informed results, allowing each patient to receive a faster, personalized clinical pathway. The Fast MDx system comprises everything necessary for testing, including sample tubes, swabs, and even electronic result transmission to the originating hospital, clinic, or doctor’s office. The system incorporates Fast MDx’s latest, ultra-fast, NGx2 4-Channel qPCR thermal ...
Historically, Alzheimer’s disease was primarily diagnosed based on observable symptoms, particularly when individuals started exhibiting memory and cognitive difficulties. However, it’s been revealed through research that up to a third of individuals diagnosed with Alzheimer’s based solely on cognitive symptoms have been incorrectly diagnosed, with their symptoms stemming from other causes. The accurate identification of Alzheimer’s disease has become increasingly crucial, especially since the introduction of the first treatments that can slow the disease’s progression, along with other promising drugs currently in development. These treatments are potentially more effective when administered early, highlighting the need for early detection of the disease. Therefore, to qualify for Alzheimer’s therapies, patients must show cognitive impairment and test positive for amyloid plaques, which are distinctive to Alzheimer’s. Techniques like amyloid positron emission tomography (PET) brain scans, cerebrospinal fluid analyses, and blood tests are used to detect brain amyloid plaques. However, these are only employed ...
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