Innovations

Nasal spray drug shows promise in halting Alzheimer’s progression by targeting brain enzyme linked to cognitive decline.

AI voice analysis shows 99% accuracy in detecting Parkinson’s disease early, paving the way for better patient care.

Neoantigen DNA vaccines show safety and efficacy in reducing breast cancer recurrence, promising a personalised approach to immunotherapy in high-risk patients.

Groundbreaking stem cell-based corneal transplants offer hope to LSCD patients, with trials showing improved vision and corneal health without HLA matching.

A new wireless device that wraps around neurons may transform treatment for neurological disorders, aiding neuron function by acting as synthetic myelin.

Nanoparticle-directed therapy has shown significant promise for treating localised prostate cancer, achieving tumour ablation while preserving key functions such as urinary and sexual health.

A novel noninvasive diagnostic tool has demonstrated high sensitivity (90%) and specificity (69%) in detecting malaria-infected red blood cells (iRBCs) using laser and ultrasound technology.

Researchers have developed an innovative 8-channel neural stimulation chip that addresses critical limitations in current devices, which often face challenges in balancing high voltage requirements and tissue safety.

A novel protective sleeve has been shown to significantly reduce skin complications, including bruising and erosion, in patients undergoing surgery for axillary osmidrosis 

Researchers have shown that 3D-printed, customisable ostomy bags with sensors and stimulators on stoma nursing significantly reduced skin complications

Loneliness can be continuously and objectively monitored using mobile and wearable technologies, according to a recent study

Non-invasive and continuous monitoring of cerebral blood flow is now possible with a conformal ultrasound patch designed for hands-free volumetric imaging

Using an electronic health record-based intervention has been shown to increase pre-exposure prophylaxis use among patients of primary care physicians caring for people with HIV.

The future of gaining clinical experience may change as virtual reality-based training could improve the ability of paediatric nurses to recognise impending respiratory failure.

New research has shown that a deep learning model may be able to predict disability and pain in patients up to 1 year after lumbar disc herniation surgery and to aid decision-making for patients and surgeons.

Brain scans of adolescents with and without ADHD were scrutinised through AI, uncovering disparities in the white matter tracts that could redefine our understanding of this prevalent neurodevelopmental condition.

Researchers have recently demonstrated that a fully automated AI approach can predict post-nephrectomy glomerular filtration rate with a level of accuracy comparable to validated clinical prediction models.

According to a recent study, artificial intelligence chatbots outperformed human clinicians in probabilistic reasoning when estimating the probability of a diagnosis following a negative test result.

Adding to a growing body of data regarding the use of AI in imaging, a recent study has measured Cobb angles accurately with a convolutional neural network in patients with idiopathic scoliosis.

The performance of a machine learning based model for diagnosing coronary artery disease has been investigated to improve recognition of risk factors for one of the most lethal cardiovascular diseases in the world.

Machine learning can analyse large sets of data on predictors of breast cancer and also process the non-linear relationships between them.

Operators without formal training, who performed portable and low-cost ultrasound sweeps, detected high-risk complications during pregnancy.

The current surgical treatment methods for epilepsy are invasive, expensive, and inconvenient for patients. However, this may be a thing of the past, as a new technique is being developed. Read to find out more.

A novel clinical trial aimed to compare patient recovery time between robotic surgery to treat bladder cancer versus open surgery…

New research holds the potential to revolutionise remote testing in patients such as those on warfarin, who monitor their blood regularly…

Researchers at the University of Cambridge have developed a low-cost jelly-like material, with potential for use in artificial hands…

ACCURATE blood pressure control during surgery following spinal cord injury, could assist in patient recovery, according to a recently published study…

Approximately 700,000 people die each year due to antibiotic resistant bacteria, a statistic that is estimated to rise to millions…

Brain-computer interfaces (BCIs) allow users to communicate directly with computers or external devices using neural activity.

Recently, scientists have explored ways to streamline the COVID-19 testing process to make it faster and more efficient. Find out more

A team of Japanese researchers conducted a study to assess the ability of a machine learning model to predict out-of-hospital cardiac arrest.

Initially, the ability of deep feed-forward neural networks to independently predict 101 CT radiomic features and two clinical traits…

DETECTION of SARS-CoV-2 infection through PCR eligibility triad symptoms of cough, fever, and loss of smell has been deemed ineffective by a group of…

AN EMOTION virtual recognition tracking system presented by a group of researchers from Incheon National University, South Korea could pave the way to…

PACIFIC-19 team show that a universal assessment score, used to measure a patient’s severity of illness, can be applied to patients with Covid-19

Altering the yellow fever vaccine has shown to be protective against coronavirus disease (COVID-19) in animal models after a single shot.

A recently developed data science pathway for 4th-year radiology residents could be preparing these clinicians for future technology use.

WEARABLE technologies may further personalise medical care, as a custom smartwatch has been developed to track medication levels from sweat in real time. …

AUTOMATED measurement of atrophic lesions in geographic atrophy has been developed through the use of artificial intelligence (AI). The software…

LOWER radiation doses providing equal imaging quality have been developed in a new technique by researchers from University College London (UCL)…

ROBOTICISTS have developed flexible medical robots and a GPS-system to easily locate them in the human body, claiming this new system…

INSTANT triage of patients with suspected COVID-19 may be achieved with artificial intelligence (AI)-based chest X-ray technology…

REMOTE communication tools have flourished following the rapid spread of the novel coronavirus, keeping individuals informed and united across the globe…

CELLINK has started reselling a qPCR instrument. The instrument uses a laboratory technique of molecular biology based on the polymerase chain reaction…

A novel fully automated robotic screening system has now been designed paving the way towards a fast-track development of a male contraceptive…

CORONAVIRUS disease 2019 (COVID-19), a pandemic currently gripping the world, has accentuated the need for novel approaches to treat outbreaks…

The outcome of sepsis and stroke could be improved upon with the use of a new therapeutic model shown in mice…

TARGETED therapy in lung cancer to achieve a good prognosis is of the utmost importance because of the difficulty associated…