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Unraveling Nature's Complexity with Molecular Imaging

In this interview conducted at Pittcon 2023 in Philadelphia, Pennsylvania, we spoke to Ron Heeran, a speaker at the 2023 James L. Waters Symposium.

From Pittcon 1 May 2023

How inert, sleeping bacteria spring back to life

Solving a riddle that has confounded biologists since bacterial spores -; inert, sleeping bacteria -; were first described more than 150 years ago, researchers at Harvard Medical School have discovered a new kind of cellular sensor that allows spores to detect the presence of nutrients in their environment and quickly spring back to life.

27 Apr 2023

To what extent does air pollutant-induced semen damage contribute to male infertility?

Researchers investigate the contribution of air pollutants-induced semen damage to the risk of infertility.

25 Apr 2023

New machine-learning method could help gauge body clock timing to make better health decisions

A new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep.

24 Apr 2023

Online tool analyzes at-home videos to predict musculoskeletal health

Musculoskeletal conditions-;which encompass impairments of the joints, bones, or muscles-;affect more than 1.5 billion people around the world.

21 Apr 2023

Large-scale study identifies factors linked to uptake of first COVID-19 vaccination dose

A large-scale registry study in Finland has identified several factors associated with uptake of the first dose of COVID-19 vaccination. In particular, persons with low or no labor income and persons with mental health or substance abuse issues were less likely to vaccinate.

21 Apr 2023

Using artificial intelligence to improve the predictability of epidemics

Before the first cases of COVID-19 became known, an algorithm based on artificial intelligence developed by a company in Canada had already detected a new virus which was spreading across the Chinese city of Wuhan.

20 Apr 2023

Computer-assisted method accurately recognizes the severity of ataxia-related speech disturbances

Researchers at DZNE and the University Hospital Bonn, together with the Berlin-based company PeakProfiling GmbH, have developed a computer-assisted method that recognizes the severity of speech disturbances resulting from ataxia, a brain disease, with great accuracy.

18 Apr 2023

The neural mechanisms causing long-COVID fatigue

Researchers investigated the neural mechanisms underlying post-coronavirus disease fatigue.

14 Apr 2023

The brain computes multiple, simultaneous alternative decision strategies, study shows

Choosing a checkout line in a supermarket might seem like a no-brainer, but it can actually involve a complex series of cerebral computations.

13 Apr 2023

Machine learning methods may be effective in screening patients for sleep disorder risk

A machine learning model can effectively predict a patient's risk for a sleep disorder using demographic and lifestyle data, physical exam results and laboratory values, according to a new study published this week in the open-access journal PLOS ONE by Samuel Y. Huang of Virginia Commonwealth University School of Medicine, and Alexander A. Huang of Northwestern Feinberg University School of Medicine, US.

12 Apr 2023

AI can identify subtle language and audio changes in patients at early stages of Alzheimer's

New technologies that can capture subtle changes in a patient's voice may help physicians diagnose cognitive impairment and Alzheimer's disease before symptoms begin to show, according to a UT Southwestern Medical Center researcher who led a study published in the Alzheimer's Association publication Diagnosis, Assessment & Disease Monitoring.

12 Apr 2023

Researchers use AI and Twitter to create anxiety, depression prediction models

Researchers at the University of São Paulo (USP) in Brazil are using artificial intelligence (AI) and Twitter, one of the world's largest social media platforms, to try to create anxiety and depression prediction models that could in future provide signs of these disorders before clinical diagnosis.

10 Apr 2023

Study identifies four different autism subtypes based on brain activity and behavior

People with autism spectrum disorder can be classified into four distinct subtypes based on their brain activity and behavior, according to a study from Weill Cornell Medicine investigators.

7 Apr 2023

Combinatorial biomarker predicts response to immunotherapy in kidney cancer patients

The number of immune cells in and around kidney tumors, the amount of dead cancer tissue, and mutations to a tumor suppressor gene called PBRM1 form a biomarker signature that can predict — before treatment begins — how well patients with kidney cancer will respond to immunotherapy, according to new research directed by investigators at the Johns Hopkins Kimmel Cancer Center and its Bloomberg~Kimmel Institute for Cancer Immunotherapy.

6 Apr 2023

New machine learning model estimates optimal treatment timing for sepsis

A new machine learning model that estimates optimal treatment timing for sepsis could pave the way for support tools that help physicians personalize treatment decisions at the patient bedside, researchers say.

6 Apr 2023

Scientists receive federal funding to model the emergence and spread of biological threats

Modeling the emergence and spread of biological threats isn't as routine as forecasting the weather, but scientists in two of the U.S. Department of Energy's national laboratories were awarded funding to try to make it so.

5 Apr 2023

New method for lower respiratory tract infection diagnosis in critically ill children

Lower respiratory tract infection (LRTI), which includes conditions such as pneumonia, has long been the leading cause of death from communicable agents and a leading cause of death in children worldwide.

5 Apr 2023

New model for proteomic cardiovascular risk assessment among chronic kidney disease patients

Chronic kidney disease (CKD) is a strong cardiovascular risk factor and is often accompanied by hypertension and diabetes. Despite the disease's prevalence-;10 percent of individuals across the globe suffer from CKD-;there are limited tools for measuring cardiac risk for CKD patients, until now.

4 Apr 2023

Optibrium appoints computational modelling expert, Dr Hamed Tabatabaei Ghomi as Head of Research

Optibrium, a leading developer of software and AI solutions for drug discovery, today announced the appointment of Dr Hamed Tabatabaei Ghomi as Head of Research.

From Optibrium Ltd. 4 Apr 2023