Linked infacebooktwitteryoutube
MGI

MGI and HKBU Partner to Enhance Anti-Doping Efforts with Advanced Sequencing Technology

Digital pathology

Pathology in the Age of Generative AI

BD

Becton Dickinson and Quest Diagnostics Partner on CDx Development

Oncology

Predictive Oncology Enters Biomarker Discovery Market Following Successful Ovarian Cancer Study Results

Guardant Health

ObvioHealth Secures Strategic Investment from Guardant Health to Boost Global Oncology Clinical Trials Deployment

biopharmaceutical

IASO Bio Secures FDA Approval for Equecabtagene Autoleucel IND Application to Treat Multiple Sclerosis

Pfizer

Positive Topline Results Announced by Pfizer for Phase 3 Hemophilia A Gene Therapy Study

CAR-T Cell Therapy

SUNACT Cancer Institute Launches in Thane to Offer Allogeneic CAR-T Cell Therapy

Union Budget

Government Announces Full Customs Duty Exemption on Three Cancer Medicines in Union Budget 2024-25

plasmid sequencing

Oxford Nanopore Technologies and Plasmidsaurus Forge Strategic Partnership to Enhance Plasmid Sequencing

Drug Discovery

QDX and Prelude Therapeutics Announce Collaboration on Innovative Oncology Programs

Precision medicine

BePRECISE Consortium Releases Guidelines for Precision Medicine Research Reporting

AMP

AMP Releases Guidelines for Standardizing DPYD Genotyping Assays

QureAI

Qure.ai Secures Class III Medical Device Licence from Health Canada

Agilent

Agilent Unveils ProteoAnalyzer at Singapore Cell and Gene Therapy Pan Asia Summit

Pathology in the Age of Generative AI
26 Jul 2024

Pathology in the Age of Generative AI

Precise and swift pathology is vital for detecting, diagnosing, and treating various conditions such as cancer and infectious diseases. Computational pathology has advanced significantly with AI, digital pathology slides, and extensive image datasets. In The Lancet Digital Health, Omar et al. discuss large language models (LLMs) like OpenAI’s ChatGPT-4, noting their potential in medical research but emphasizing the need for domain-specific AI tools. They introduce the Digital Pathology Assistant, which uses the PathML library to process large-scale pathology images. Lu et al. describe PathChat, a multimodal generative AI that integrates a vision encoder, multimodal projector, and LLM, excelling in diagnostic tasks across diverse tissue types. PathChat’s training code is publicly accessible for academic use. Li et al. validate AI applications with the Cpath TIL-score biomarker, linking high TIL density in ductal carcinoma in situ to increased recurrence risk and radiotherapy benefit. Despite the promise of AI in digital pathology, challenges like model interpretability, workflow integration, and data bias need addressing. Under-representation of minority groups in training datasets is a significant concern, affecting AI tool quality and generalizability. This issue is critical for low- and middle-income countries (LMICs), where cancer fatalities are projected to rise significantly. Strategies to support digital pathology in LMICs include open datasets, open-source models, public-private partnerships, and long-term funding. The Lancet Digital Health advocates for advancements in AI tools, addressing biases, ensuring minority representation, and promoting global implementation of these technologies for improved healthcare outcomes. Reference: Omar et al., Lu et al., Li et al., The Lancet Digital Health

Read more

Medical issues and perspectives


CAR T-Cell Therapy Availability in India: Hospitals Providing Treatment
07 Jul 2024

CAR T-Cell Therapy Availability in India: Hospitals Providing Treatment

For decades, cancer treatment has primarily relied on surgery, chemotherapy, and radiation therapy. While these methods remain crucial, new treatment categories have emerged, transforming cancer care. In the last decade, immunotherapy has become a significant addition to cancer treatment. These therapies boost the patient's immune system to fight cancer. Immune checkpoint inhibitors, widely used for cancers like melanoma, lung, kidney, bladder, and lymphoma, have shown remarkable results in shrinking and even eradicating tumors. Some patients experience long-lasting responses to these treatments. 

Another promising Immunotherapy CAR T-cell therapy has also demonstrated the ability to eradicate advanced leukemias and lymphomas. This is an innovative type of cancer treatment that harnesses the power of a patient’s own immune system to fight cancer. CAR stands for Chimeric Antigen Receptor, which is a specially engineered receptor added to T cells, a type of white blood cell that plays a key role in the immune response. The process begins with collecting T cells from the patient’s blood. These cells are then modified in a laboratory to express CARs on their surface. CARs are designed to recognize and bind to specific proteins (antigens) on the surface of cancer cells. Once engineered, these CAR T cells are multiplied and infused back into the patient. When CAR T cells are reintroduced into the patient’s body, they seek out and attach to the cancer cells that express the target antigens. This binding activates the CAR T cells to attack and kill the cancer cells. Since 2017, FDA has approved six CAR T-cell therapies for blood cancers, including lymphomas, certain leukemias, and multiple myeloma. 

India has recently unveiled its first indigenously developed chimeric antigen receptor (CAR) T-cell therapy, marking a significant milestone in the country's medical advancements. The therapy, actalycabtagene autoleucel (actaly-cel, marketed as NexCAR19), was created through a collaboration between scientists at the Indian Institute of Technology, Bombay, and Tata Memorial Hospital, in partnership with ImmunoACT. In October 2023, India's Central Drugs Standard Control Organization approved actaly-cel for the treatment of relapsed or refractory B-cell lymphomas and leukemia, making it the first CAR T-cell therapy approved for use in the country. 

This unveiling of India's indigenously developed CAR T-cell therapy, NexCAR19, represents a significant advancement amidst global concerns over the high cost and efficacy of such treatments. In contrast to the staggering prices of CAR T-cell therapies in the United States, which can exceed $400,000 per infusion, NexCAR19 is anticipated to cost around $50,000. This drastic reduction in cost aims to make cutting-edge immunotherapy more accessible, addressing criticisms about affordability and ensuring broader patient access in India and potentially beyond. 

Here is a list of hospitals in India known to provide CAR T-cell therapy:

  • Tata Memorial Hospital
  • Apollo Hospitals
  • Narayana Hospitals
  • Kokilaben Dhirubhai Ambani Hospital
  • Fortis Hospitals
  • Artemis Hospital
  • Max Super Speciality Hospital
  • Amrita Hospital
  • Cytecare Cancer  Hospitals
  • HCG Cancer Centre
  • Hinduja Hospital
  • Sahyadri Hospitals
  • Zydus Hospital
  • Continental Hospitals
  • Sterling hospitals
  • Jaslok hospitals
  • Rajiv Gandhi Cancer Institute & Research Centre

These hospitals are recognized for offering CAR T-cell therapy, marking advancements in personalized cancer treatment in India.

Read more

Improving Patient Outcomes through Personalized AI-Enabled Medicine
05 Jul 2024

Improving Patient Outcomes through Personalized AI-Enabled Medicine

Artificial intelligence (AI) is revolutionizing healthcare across various fronts, ushering in a new era of precision medicine and operational efficiency. One of its most impactful applications lies in medical imaging, where AI algorithms analyze complex datasets from X-rays, MRIs, and CT scans, aiding radiologists in detecting subtle abnormalities with greater accuracy and speed than ever before. Beyond diagnostics, AI plays a crucial role in personalized medicine by integrating patient data—such as genetic information and medical history—to tailor treatment plans that maximize efficacy and minimize adverse effects. This capability extends to drug discovery, where AI models sift through vast repositories of data to identify promising compounds and accelerate the development of new therapies.

 

Moreover, AI enhances healthcare delivery through remote monitoring and predictive analytics, allowing for proactive interventions by alerting healthcare providers to potential health risks before they escalate. Administrative tasks, traditionally cumbersome and time-consuming, are also streamlined through AI-driven systems that automate scheduling, billing, and record-keeping, freeing up healthcare professionals to focus more on patient care. In surgical settings, AI-powered robotics assist surgeons with precision and dexterity, improving outcomes and reducing recovery times for patients.

 

While the potential of AI in healthcare is immense, its integration raises ethical concerns around patient privacy, algorithmic bias, and the equitable distribution of benefits across different populations. Ensuring that AI technologies are developed and deployed responsibly, with robust regulatory oversight and adherence to ethical guidelines, will be essential to harnessing its full potential while safeguarding patient safety and privacy. As AI continues to evolve, its transformative impact on healthcare promises to reshape medical practices, improve outcomes, and enhance the overall quality of patient care worldwide.

 

 

Read more