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News Type: Research

Hopkins BME, university consortium take on grand challenges in biomedical engineering

In a new IEEE paper, an alliance of 50 experts from 34 elite universities— including Johns Hopkins —reveal five research areas where the field of biomedical engineering has the potential to achieve tremendous impact on the field of medicine.

Computational tool offers new possibilities for spatial genomics research

Johns Hopkins engineers develop a new computational method to precisely align spatial transcriptomics data across samples, resolutions, and technologies, enabling researchers to learn more about the underlying biology of cells.

Research suggests link between amygdala and early Alzheimer’s symptoms: Q&A with Kaitlin Stouffer

Stouffer talks about her group’s work on understanding how the amygdala relates to Alzheimer’s disease progression and why it is a promising frontier for Alzheimer’s research and treatment.

News Brief: Research from Johns Hopkins named one of National Geographic’s top medical breakthroughs of 2023

Research from Johns Hopkins and University of Cambridge has been named one of National Geographic’s seven medical breakthroughs of 2023....

“Ground truth” colonoscopy dataset to boost cancer detection through AI

A Johns Hopkins University research team has created a dataset of simulated colonoscopy videos, called C3VD, that can help researchers evaluate how their computer vision models will perform in real-world scenarios.

Brain imaging technique allows researchers to achieve more with less data

Hopkins researchers develop new AI algorithm that can reconstruct brain images to identify potential biomarkers of neurodegenerative diseases.

News Brief: Casey Overby Taylor awarded funding from NIMHD

The National Institutes of Health’s All of Us Research Program and 10 partner institutes, centers, and offices have funded 26...

Brain-computer interface restores control of home devices for Johns Hopkins patient with ALS

A brain-computer interface (BCI) surgically implanted on the brain of an ALS (amyotrophic lateral sclerosis) patient has shown success in translating brain signals into computer commands.

Machine learning model calculates chemotherapy success in patients with osteosarcoma

The model's results correlated 85% with those calculated by a musculoskeletal pathologist.

Jude Phillip receives award to classify subtypes of aging cells

Phillip, an assistant professor in the Department of Biomedical Engineering, has received a Junior Faculty award from the American Federation for Aging Research—Glenn Foundation to identify and classify subtypes of senescent cells.

Justus Kebschull earns major awards for brain-mapping projects

The BRAIN CONNECTS program supports 11 projects that aim to develop technologies to comprehensively map neural connections in both humans and laboratory animals.

Hopkins engineers join $45M project to develop sense-and-respond cancer implant technology

Funding from the Advanced Research Projects Agency for Health (ARPA-H) will fast-track the development of new cancer implant technology.

Researchers enhance the function of natural proteins using ‘protein Legos’

Breakthrough research from Jamie Spangler, an assistant professor of chemical and biomolecular engineering and biomedical engineering, has potential implications for treatment of injuries.

New machine learning method may aid personalized cancer therapy

Deep-learning technology developed by Johns Hopkins researchers could help scientists overcome a major hurdle to developing personalized immunotherapies and vaccines.

Machine learning model could enable targeted gene therapies for genetic diseases

New machine learning model could enable the development of therapies for cancer or other genomic diseases by activating genes on demand.

“Tissue-on-a-Chip” headed to space to study aging and heart disease

For a team of Johns Hopkins scientists, the acceleration of aging in space provides a unique opportunity to better comprehend the condition that remains the leading cause of death in America: heart disease.

‘Digital twins’ of patients’ hearts harness personal genetics to inform disease management

Scientists have developed a tool called Geno-DT to create a digital replica of an individual's heart, which could inform the diagnosis and treatment of cardiovascular diseases.

‘Tipping the balance’ of immune cells from bad to good reverses multiple sclerosis symptoms in mice

A Johns Hopkins Medicine team suggests that microparticle-delivered therapy may be the first step toward stopping MS and other autoimmune diseases.

New immune model sheds light on implant rejection

Researchers' work may help to predict and prevent the immune response that leads to fibrosis.

Scientists design a nanoparticle that may improve mRNA cancer vaccines

Tests in mice with melanoma and colon cancer show tiny particle creates an “army” of immune cells that carry vaccine’s instructions, researchers say.

Natalia Trayanova joins $8M international research initiative for advanced heart disease diagnosis and therapeutics

The Leducq-funded project aims to find new therapies for heart disease by studying the effects of stimulating nerves.

Machine learning helps scientists see how the brain adapts to different environments

Visualizing connections between nerve cells in the brain could yield insights into how our brains change with learning, aging, injury, and disease.

Whether physical exertion feels ‘easy’ or ‘hard’ may be due to dopamine levels, study suggests

Dopamine, a brain chemical long associated with pleasure, motivation and reward-seeking, also appears to play an important role in why exercise and other physical efforts feel “easy” to some people and exhausting to others, according to results of a study of people with Parkinson’s disease led by Johns Hopkins Medicine researchers.

Scientists complete 1st map of an insect brain

Researchers have completed the most advanced brain map to date, that of an insect, a landmark achievement in neuroscience that brings scientists closer to true understanding of the mechanism of thought.

Heart tissue heads to space to aid research on aging and impact of long spaceflights

Johns Hopkins Medicine researchers are collaborating with NASA to send human heart “tissue-on-a-chip” specimens into space as early as March. The project is designed to monitor the tissue for changes in heart muscle cells’ mitochondria (their power supply) and ability to contract in low-gravity conditions.

Can we trust AI?

From Alexa to a robot running amok in the movie 'M3GAN', artificial intelligence is part of everyday life and is capturing our imagination. Johns Hopkins AI expert Rama Chellappa helps us sort out fact from fiction, and whether we should embrace the 'AI spring'.

Research team creates statistical model to predict COVID-19 resistance

Researchers from Johns Hopkins have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.

How cancer cells organize

There is a certain class of pediatric brain cancers that is “universally deadly,” with a median survival of 15 months and few, if any, viable treatment options. The key to combating these cancers might be in analyzing how the cells within tumor tissue—cancer cells, immune cells, and others—express genes and organize themselves spatially.

Johns Hopkins physicians and engineers search for AI program that accurately predicts risk of ‘ICU delirium’

An intensivist at Johns Hopkins Medicine, in collaboration with Johns Hopkins University engineering students, report they have developed artificial intelligence (AI) algorithms that can detect the early warning signs of delirium and can predict — at any time during an ICU stay — a high risk of delirium for a significant number of patients.

When grandpa can’t hear words at a noisy holiday gathering, too many brain cells may be firing at once

Johns Hopkins Medicine researchers say they found that old mice were less capable than young mice of “turning off” certain actively firing brain cells in the midst of ambient noise.

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