Showing posts with label Healthcare. Show all posts
Showing posts with label Healthcare. Show all posts

Friday, November 8, 2024

amnesia-inducing-diatoms-luzon-shellfish-farms

Amnesia-Inducing Diatoms Discovered in Luzon's Shellfish Farms

Microscopic diatoms Pseudo-nitzschia pungens and Pseudo-nitzschia brasiliana discovered in Luzon shellfish farms, linked to memory loss.

Introduction: The Discovery of Toxic Diatoms

Luzon, the densely populated island housing over half of the Philippine population, includes many residents who regularly consume shellfish. An international research team recently confirmed the presence of two Pseudo-nitzschia diatom species there, known for producing a harmful neurotoxin linked to severe illness and memory loss.

This research has been published in Diatom Research.

What Are Diatoms and Their Risks?

Diatoms: The 'Glass House' Algae

Often described poetically as 'algae that live in glass houses,' diatoms are microscopic aquatic organisms encased in protective, milk-colored silica shells. Although most diatom species pose no harm, nearly half of the 58 identified Pseudo-nitzschia species are known to produce the potent neurotoxin domoic acid (DA).

The Dangers of Domoic Acid (DA)

Individuals who consume shellfish contaminated with domoic acid (DA) may suffer from symptoms like vomiting, nausea, diarrhea, and stomach cramps. In severe cases, DA exposure can result in permanent short-term memory loss, a condition known as amnesic shellfish poisoning (ASP).

Limited Knowledge of Pseudo-nitzschia in the Philippines

Despite these risks, limited information is available on the spread of Pseudo-nitzschia in the Philippines. This knowledge gap led scientists from Ateneo de Manila University's Department of Biology and University Malaysia Sarawak to analyze the physical and genetic traits of the diatoms found in water samples from shellfish farms in Luzon's Bacoor Bay and Pagbilao Bay.

Research Findings: The Identified Toxic Diatoms

New Species Discovery: P. Brasiliana

The researchers identified the DA-producing diatoms Pseudo-nitzschia pungens and Pseudo-nitzschia brasiliana within the samples, with P. brasiliana being recorded for the first time in Luzon.

Harmful Algal Blooms (HABs) and Shellfish Contamination

During periods of excessive growth, known as harmful algal blooms (HABs) or 'red tide,' DA can accumulate in significant quantities in filter-feeding shellfish like mussels and clams.

"Identifying species within a genus where half are known DA producers is essential for HAB monitoring in the Philippines," the researchers emphasize.

Importance of Monitoring and Research

The Need for Monitoring Efforts

Researchers Lorenzo A. Botavara, Janice A. Ragaza, Hong Chang Lim, and Sing Tung Teng emphasize the importance of recognizing the toxic potential of these diatoms and implementing monitoring efforts. "Such efforts must begin by confirming their presence in our waters, yet, to our knowledge, no molecular taxonomy of Pseudo-nitzschia exists in the Philippines."

Future Steps for HAB Monitoring

"Identifying species within a genus where half are known DA producers in essential for HAB monitoring in the Philippines." the researchers emphasize.

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Stay Informed and Support Efforts to Protect Public Health

The discovery of Pseudo-nitzschia diatoms in Luzon's shellfish farms highlights the urgent need for effective monitoring and research. We encourage local communities, researchers, and policymakers to collaborate in addressing the potential risks of amnesic shellfish poisoning (ASP) and ensure safe seafood consumption. Stay informed about the latest research developments and support initiatives to protect public health by advocating for regular water checks in shellfish farming areas.

Monday, November 4, 2024

ai-breast-cancer-progression-prediction-ataraxis-model

Advanced AI Model Shows Superior Prediction Capabilities for Breast Cancer Progression

AI Multi-modal test for invasive breast cancer.

Introduction

A collaborative team of AI and healthcare researchers at Ataraxis AI, working alongside experts from institutions across the U.S., has developed an AI model that claims to enhance accuracy in predicting breast cancer progression over current hospital methods.

Key Findings

The team has shared a research paper on the arXiv preprint server, detailing their model's design and its strong performance during testing.

Understanding Breast Cancer Progression

Variability in Cancer Growth Rates

Previous studies have demonstrated that cancer growth rates vary, even among cancers of the same type. For instance:

  • Some breast cancers advance rapidly.
  • Others progress more gradually.

This variability poses challenges for healthcare providers in devising the best treatment approach for each patient.

Current Assessment Methods

Researchers have thus introduced tests such as Oncotype DX, which assess the aggressiveness of a patient's cancer through:

  • Genetic Analysis.
  • Observing the cancer's progression over a short duration.

The Ataraxis AI Approach

Development of the AI Model

In this recent endeavor, the Ataraxis AI team, which publicly launched only last year, has created a machine-learning model designed to estimate the probable progression rate for individual patients.

Collaboration for Model Training

The team collaborated with multiple hospitals to train their model, gaining access to extensive tumor progression imagery and patient data.

Enhancing Model Accuracy

They enhanced model accuracy by:

  • Creating multiple models with different methodologies.
  • Averaging their predictions to reduce errors.

Performance Validation

Testing on Historical Data

The team has tested their model on historical data from 3,500 patients and benchmarked its progression risk predictions against standard assessments like Oncotype DX, noting an accuracy increase of up to 30%.

Future Directions

Ongoing Research and Development

Continuing their research, the team plans to refine their model's accuracy and explore other tools to aid doctors in assessing breast cancer more precisely.

Software Release Anticipation

They anticipate releasing software for healthcare providers incorporating their AI model as early as next year.

Source


Stay Ahead of Breast Cancer Progression: Explore the Next Generation in Predictive AI Models

Unlock the potential of Ataraxis AI's advanced model for breast cancer progression, designed to provide greater accuracy in patient assessments. Discover how this groundbreaking AI could shape the future of personalized treatment-available to healthcare providers soon.

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