Blood clotting and tissue healing

The number of blood clots in society is expected to double by 2050. The risk of blood clotting increases significantly after injury, surgery, or leg immobilization. However, the effects of blood clots on tissue healing and the underlying regulatory mechanisms remain largely unknown.
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

A recent study investigated the occurrence of deep venous thrombosis (DVT)—a serious condition where blood clots form in deep veins—in patients who suffered Achilles tendon ruptures (ATR). The researchers aimed to identify tissue biomarkers that could predict both DVT development and long-term patient outcomes.

The study found specific biomarkers in tissue samples from ATR patients that were associated with a higher risk of developing DVT. These biomarkers could potentially serve as early warning signs, allowing for timely interventions to prevent complications. Additionally, they found that these biomarkers were linked to poorer long-term outcomes in patients, suggesting they could also help predict recovery trajectories.

This research underscores the need to develop effective blood clot prevention strategies to improve both patient recovery and overall outcomes after injuries.

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Health and Illness
Life Sciences > Health Sciences > Health Care > Quality of Life Research > Health and Illness
Cardiovascular Diseases
Life Sciences > Health Sciences > Clinical Medicine > Diseases > Cardiovascular Diseases

Related Collections

With collections, you can get published faster and increase your visibility.

Artificial intelligence and medical imaging

This collection seeks original research on AI in medical imaging, covering algorithm development, model building, performance, pathology, clinical application, and public health. Includes MRI, CT, ultrasound, PET, and SPECT.

Publishing Model: Open Access

Deadline: May 01, 2025

Artificial intelligence and precision medicine

This collection welcomes original research on AI and precision medicine, including biomarker validation, drug screening, big data processing, and AI-assisted decision making.

Publishing Model: Open Access

Deadline: Jun 25, 2025