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Bruker announces new results in deep, unbiased plasma proteomics, PaSER 1.1 software and new cross-linking consumables at US HUPO 2021

At the virtual 17th US HUPO Conference (US HUPO 2021), Bruker Corporation (Nasdaq: BRKR) today announces progress with several collaborations in deep, unbiased plasma proteomics, leveraging the speed, sensitivity and dynamic range of 4D proteomics on timsTOF Pro systems.

From Bruker Life Sciences Mass Spectrometry 9 Mar 2021

New approach can advance medical AI algorithms, reduce risks to patient privacy

Within the field of artificial intelligence (AI), deep learning is an area of rapid and high-impact innovation in the healthcare industry.

9 Mar 2021

New system to automatically extract adverse drug reactions from electronic health records

Patients' electronic health records convey crucial information. The application of natural language processing techniques to these records may be an effective means of extracting information that may improve clinical decision making, clinical documentation and billing, disease prediction and the detection of adverse drug reactions.

5 Mar 2021

New Nature Communications publication by Mann & Theis Groups harnesses the benefits of large-scale peptide collisional cross section (CCS) measurements and deep learning for 4D-proteomics

Bruker Corporation today announces a seminal publication from the groups of Professors Matthias Mann and Fabian Theis in the journal Nature Communications with the title ‘Deep learning the collisional cross sections of the peptide universe from a million experimental values’ by Florian Meier et al.

From Bruker Life Sciences Mass Spectrometry 4 Mar 2021

Study: Public attitude toward COVID-19 and its treatments is more “infectious” than disease itself

Public attitude toward COVID-19 and its treatments is more "infectious" than the disease itself, according to a new Northwestern Medicine study using Artificial Intelligence (AI) to analyze tweets about the virus.

2 Mar 2021

Deep learning-based splice-AI can help predict the onset of Alzheimer's disease

Korea Brain Research Institute (KBRI, President Suh Pann-ghill) announced that the research team led by Dr. Jae-Yeol Joo discovered new cryptic splice variants and SNVs in PLCg1 gene of AD-specific models for the first time using Splice-AI.

1 Mar 2021

Insilico Medicine discovers novel preclinical candidate to address idiopathic pulmonary fibrosis

Insilico Medicine has demonstrated a breakthrough in Artificial Intelligence ("AI") and drug discovery -- linking together generative chemistry and biology for the first time -- to discover a novel preclinical candidate addressing idiopathic pulmonary fibrosis ("IPF") and be validated with multiple human cell and animal model experiments.

25 Feb 2021

AI-based 3D holographic microscopy found to be better at analyzing cancer immunotherapy

Live tracking and analyzing of the dynamics of chimeric antigen receptor (CAR) T-cells targeting cancer cells can open new avenues for the development of cancer immunotherapy.

24 Feb 2021

Applications of Artificial Intelligence in COVID-19 ICU and ER situations

The overwhelming increase in critically ill COVID-19 patients, who urgently require intensive care units (ICU) and emergency departments (ED), has challenged healthcare systems worldwide.

22 Feb 2021

'The Virtual Brain': A new tool for epilepsy surgery planning

Epilepsy is one of the most common neurological disorders, affecting over 50 Million people worldwide. Patients suffer from seizures caused by sudden neuronal activity engaging at times large networks of the brain.

20 Feb 2021

3D microscopy sheds light on the body’s immune response to obesity

Researchers who focus on fat know that some adipose tissue is more prone to inflammation-related comorbidities than others, but the reasons why are not well understood.

18 Feb 2021

Machine learning model may guide treatment decisions for lung cancer patients

Doctors and healthcare workers may one day use a machine learning model, called deep learning, to guide their treatment decisions for lung cancer patients, according to a team of Penn State Great Valley researchers.

17 Feb 2021

New system distinguishes suspicious pigmented lesions from non-suspicious ones

Melanoma is by far the deadliest form of skin cancer, killing more than 7,000 people in the United States in 2019 alone.

17 Feb 2021

Better design of deep learning studies can lead to faster transformation of medical practices

A new Perspective article in Nature Reviews Cancer discusses reasons for the moderate progress and describes remedies designed to facilitate the transition to the clinic.

5 Feb 2021

Deep learning method for gesture tracking and neural activity segmentation in mice

In order to find a causal relationship between neural activity and physical activities, neuroscientists usually record animals' behavior and their brain activity in a controlled environment.

1 Feb 2021

Researchers develop mobile EKG device that can identify patients at risk of sudden cardiac death

Researchers from Mayo Clinic and AliveCor Inc. have been using artificial intelligence (AI) to develop a mobile device that can identify certain patients at risk of sudden cardiac death.

1 Feb 2021

Novel deep learning system can predict cardiovascular risk from CT scans

Coronary artery calcification -- the buildup of calcified plaque in the walls of the heart's arteries -- is an important predictor of adverse cardiovascular events like heart attacks.

29 Jan 2021

New automated measurement system to assess healthy lifespans using nematodes

A research group from Kumamoto University (Japan) has developed an automated measurement system to assess healthy lifespans using nematodes (C. elegans).

27 Jan 2021

Image-based deep learning haplotype-guided study maps the global adaptation of SARS-CoV-2

A new study used deep learning with image recognition technology to trace the emergence of variants with increased viral fitness. Higher fitness leads to rapid expansion of these lineages in the areas where they are introduced. This type of study could facilitate the development of more effective antibodies and vaccines to help contain the pandemic.

15 Jan 2021

Researchers use deep learning to study the effect of mental illness and other disorders on the brain

Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their architecture, according to a new study in Nature Communications led by Georgia State University.