Showing posts with label pandemics AI. Show all posts
Showing posts with label pandemics AI. Show all posts

Friday, December 20, 2024

2026 NIAID Omnibus Broad Agency Announcement HHS-NIH-NIAID-BAA2025-1

 2026 NIAID Omnibus Broad Agency Announcement HHS-NIH-NIAID-BAA2025-1 Now Available

Notice Number:
NOT-AI-25-017

Key Dates

Release Date:

December 19, 2024

Related Announcements

None

Issued by

National Institute of Allergy and Infectious Diseases (NIAID)

Purpose

The National Institute of Allergy and Infectious Diseases (NIAID), one of 27 institutes of the National Institutes of Health, an agency within the Department of Health and Human Services (DHHS), conducts and supports research to understand, treat, and ultimately prevent the myriad infectious, immunologic, and allergic diseases that threaten millions of human lives. Through a variety of research grants and contracts, NIAID’s Division of Microbiology and Infectious Diseases (DMID) specifically supports extramural research to develop new medical countermeasures (MCMs) against potential agents of bioterrorism, drug-resistant pathogens, and emerging and re-emerging infectious diseases. This Broad Agency Announcement (BAA) is soliciting proposals to advance the research and development of promising candidate therapeutics, vaccines, and diagnostics for biodefense and emerging infectious diseases.

The Omnibus BAA is governed by Federal Acquisition Regulation (FAR) 6.102(d)(2) and FAR 35.016, as well as the NIH Policy Manual, Manual Chapter 6035, Broad Agency Announcements. A BAA may be used as a solicitation mechanism for basic and applied research directed toward advancing the state-of-the-art or increasing knowledge or understanding and that part of development not related to the development of a specific system or hardware procurement. BAAs are general in nature, identifying areas of research interest, and shall only be used when meaningful proposals with varying technical/scientific approaches can be reasonably anticipated.

Offers submitted in response to this BAA will be required to submit separate detailed technical and business proposals designed to meet the Technical Objectives described for each Research Area and/or Topic proposed. The Statement of Work (SOW), including the specific technical requirements and performance specifications, shall be developed and proposed by the Offeror, not the Government.

Proposals received in response to this BAA are NOT evaluated against each other since they are not submitted in accordance with a common SOW issued by the Government. Instead, Research and Technical Objectives will be provided in the BAA that describe individual Research Areas in which the Government is interested. Proposals received in response to the BAA will be evaluated in accordance with the Evaluation Factors for Award specified in the announcement. The Government reserves the right to conduct discussions with all, some, one, or none of the proposals received in response to this BAA. If discussions are conducted, the Government reserves the right to suggest modifying, adding or deleting milestones, decision points, research plans, processes, schedules, budget or product. The Government also reserves the right to make awards without discussions. Additionally, the Government reserves the right to accept proposals in their entirety or to select only portions of proposals for award. Multiple awards are anticipated. Selection for award under this BAA will be based upon the evaluation factors, importance to the agency programs, and the availability of funds.

The Research Areas included in this NIAID OMNIBUS BROAD AGENCY ANNOUNCEMENT No. HHS-NIH-NIAID-BAA2025-1, as well as the projected amounts of available funding, are discussed below. Dates for receipt of proposals are identified separately for EACH Research Area within the solicitation.

Description:

Research Area 001 – Development of Candidate Therapeutics, Vaccines, and In Vitro Diagnostics for Antimicrobial-Resistant (AMR) Bacterial or Fungal Pathogens

For Research Area 001, there are three (3) separate Topics – A, B, and C. Offerors may submit a proposal in response to Topics A, B, and/or C. If proposing to multiple Topics, Offerors must submit separate technical and business proposals for each Topic. 

Topic A: Therapeutics for AMR Bacterial or Fungal Pathogens

The objective of Topic A is to develop new therapeutic products against severe infections and/or drug-resistant strains of the following bacterial and fungal pathogens:

a.        Pseudomonas aeruginosa, and/or Acinetobacter baumannii; OR
b.       Candida auris, Cryptococcus spp., Aspergillus fumigatus, and/or Mucorales.

For the purpose of this Topic, “therapeutic” activity refers to the cure of disease, by elimination or substantial reduction of infective pathogens, by administration of a pharmaceutical agent after symptoms of disease are clinically observable. An antimicrobial therapeutic candidate refers to an advanced lead series, optimized leads, or product candidate, that is a new chemical entity and either a small molecule (e.g., natural products, nucleosides, or peptides of </= 40 amino acids), monoclonal antibody or a nanobody conjugate/fusion product, or a bacteriophage product. The following are not included: proteins, other biological entities, and conjugates of such entities (except monoclonal antibodies, nanobodies and bacteriophages).

This Topic will support lead optimization, pre-clinical Investigational New Drug (IND) enabling studies, and clinical Phase I trials of lead candidates with demonstrated therapeutic activities. For some pathogens, the development of a therapeutic product under the U.S. Food and Drug Administration’s (FDA) Animal Rule will be supported.

Topic B: Vaccines for AMR Bacterial Pathogens

The objective of Topic B is to protect human health and well-being by advancing vaccine candidates for the following ESKAPE bacterial pathogens: Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species.

For the purpose of this Topic, the definition of a lead vaccine candidate is a candidate in which the antigen(s), adjuvant (if applicable), vaccine platform (e.g., mRNA, viral vector, subunit, etc.), and delivery route have been selected and are clinically relevant (i.e., intended for the final clinical product), for which proof-of-concept immunogenicity in relevant animal model(s) has already been demonstrated.

This Topic will support the advancement of a promising lead candidate from pre-clinical testing through IND submission to the FDA, as well as Phase I clinical trial conduct.

Topic C: In Vitro Diagnostics for AMR Fungal Pathogens

The objective of Topic C is to develop innovative platform technologies to speed the identification of infection from among a broad panel of fungi and to profile the phenotypic antifungal susceptibility. This emphasis aligns with NIAID’s goal of addressing persistent challenges in adequate clinical management associated with mycological infections and alleviating the burden of antifungal resistance.

The diagnostic test system must detect analytes from at least one, and preferably several, of the following agents and markers:

  • Candida spp. and associated resistance markers
  • Aspergillus fumigatus and associated resistance markers
  • Coccidioides spp.
  • Mucorales

Funding for Research Area 001: NIAID estimates that one to two awards may be issued for this Research Area for a total cost of up to $8.5 million for the non-severable base period across all contracts (direct and indirect costs combined). The total duration of a proposed contract should be consistent with the nature and complexity of the offeror’s proposed research. The total performance period comprised of the base and any options proposed by an Offeror should not exceed five (5) years.

Proposals Due Date and Time: February 21, 2025, 3:00PM Eastern Time

Research Area 002 – Development of Direct Acting Antivirals (DAA) for Viral Families of Pandemic Potential

This Research Area aims to develop safe and effective antivirals to combat viruses of pandemic potential, as well as to build sustainable platforms for targeted drug discovery and the development of a robust pipeline of candidates. Proposals MUST focus on antivirals that:      

  • Directly modify viral target function (not through the modulation of the host responses); AND
  • Act by reducing viral burden in early stages of disease; AND
  • Act against viruses of pandemic potential (i.e., Bunyaviridae, Coronaviridae, Filoviridae, Flaviviridae, Orthopoxviridae, Paramyxoviridae, Picornaviridae, and Togaviridae); AND
  • Are new chemical entities limited to small molecules (e.g., natural products, nucleosides, or peptides of </= 40 amino acids) and nanobody conjugates/fusion products that are directly acting on viral targets and functions (not through the modulation of the host responses); AND
  • Have safety profiles and suitable routes of administration for broad outpatient use.

For the purpose of this Topic, “therapeutic” activity refers to the elimination or substantial reduction of infective pathogens by administration of a pharmaceutical agent after viral challenge. A “therapeutic” candidate refers to an advanced lead series, optimized leads, or product candidate, that is a new chemical entity and either a small molecule (e.g., natural products, nucleosides, or peptides of </= 40 amino acids) or nanobody conjugate/fusion product. The following are not included: proteins, monoclonal antibodies, other biological entities, and conjugates of such entities.

Research Area 002 will support lead optimization, pre-clinical (IND enabling) studies, and/or Phase I clinical trials. Proposed products are not required to be narrow-spectrum and may include other pathogens in their spectrum of activity, provided one of the listed pathogens is in the primary indication of the proposed Target Product Profile (TPP). Product development under the FDA’s Animal Rule (21 CFR 314 subpart I) will be supported if appropriate to the proposed pathogen target.

Funding for Research Area 002: NIAID estimates that three to four awards may be issued for this Research Area for a total cost of up to $20 million for the non-severable base period across all contracts (direct and indirect costs combined). The total duration of a proposed contract should be consistent with the nature and complexity of the offeror’s proposed research. The total performance period comprised of the base and any options proposed by an Offeror should not exceed five (5) years.

Proposals Due Date and Time: January 21, 2025, 3:00PM Eastern Time

Any responsible offeror may submit a proposal which shall be considered by the Agency. This BAA can be accessed through Sam.Gov: https://sam.gov/opp/e1e43a392c2449e6805b9300906222a2/view. This notice does not commit the Government to award a contract.

For this solicitation, the NIAID requires proposals to be submitted online via the NIAID electronic Contract Proposal Submission (eCPS) website. Submission of proposals by facsimile or e-mail is not acceptable. For directions on using eCPS, go to the website: https://ecps.nih.gov and then click on "How to Submit."

Inquiries

Please direct all inquiries to:

Swee L. Teo
Contracting Officer
National Institute of Allergy and Infectious Diseases (NIAID) 
Telephone: 240-669-5173
Email: teosl@niaid.nih.gov 

Sunday, April 30, 2023

pademic predictions, nature perspective

 Fluleap 

Could an algorithm predict the next pandemic? (nature.com)

, and the virus’s genetic sequence was quickly uploaded to the genetic data repository GISAID. For Colin Carlson, a biologist at Georgetown University in Washington DC, it presented an opportunity. “I immediately thought, ‘I want to run this through FluLeap’,” he says.

Researchers estimate that around 1% of the mammalian viruses on the planet have been identified1, 

1. Carlson, C. J. et al. Phil. Trans. R. Soc. Lond. B 376, 20200358 (2021).


the names and affiliations mentioned are as follows:

1. Colin Carlson - Biologist at Georgetown University in Washington DC, also the director of the Viral Emergence Research Initiative (Verena).

2. Kevin Olival - Ecologist and study leader at the EcoHealth Alliance in New York City.

3. Jonna Mazet - Epidemiologist at the University of California, Davis, and director of the PREDICT project.

4. Edward Holmes - Virologist at the University of Sydney in Australia.

5. Jemma Geoghegan - Virologist at the University of Otago in New Zealand.

6. Sara Sawyer - Virologist at the University of Colorado, Boulder.

7. Nardus Mollentze - Computational Virologist at the University of Glasgow, UK, and collaborator with Verena researchers.


The article also mentions the following organizations and projects:

1. GISAID - Genetic data repository

2. PREDICT project - A US$200-million project funded by the US Agency for International Development (USAID)

3. Global Virome Project (GVP) - Proposed project in 2016, currently a non-profit organization

4. Discovery and Exploration of Emerging Pathogens — Viral Zoonoses (DEEP VZ) - Project launched by USAID in October 2021

5. Viral Emergence Research Initiative (Verena) - A consortium of researchers seeking to develop and improve zoonotic prediction models.


Some key important points in the article are:


1. In February 2021, seven Russian poultry-farm workers were infected with the H5N8 avian influenza, a subtype of bird flu that had not previously been known to infect humans.


2. Colin Carlson, a biologist at Georgetown University, used the machine-learning algorithm FluLeap to classify the H5N8 virus as human with 99.7% confidence, suggesting the model may have inferred a biological signature of compatibility with humans.


3. The zoonotic process of viruses jumping from wildlife to people causes most pandemics. Climate change and human encroachment on animal habitats increase the frequency of these events.


4. Machine learning could help identify the viruses most likely to spill over from animals to people and cause future pandemics.


5. Researchers have used statistical models and machine learning to predict aspects of disease emergence, such as global hotspots, likely animal hosts, or the ability of a particular virus to infect humans.


6. PREDICT, a US$200-million project funded by the US Agency for International Development (USAID), identified 949 new viruses in samples from wildlife, livestock, and people in 34 countries.


7. Machine learning models could be used to flag high-priority targets for further investigation, helping to triage newly discovered viruses and guiding the development of vaccines and therapeutics.


8. Improving the data used by artificial intelligence algorithms is essential to their success, and it requires global cooperation, open data sharing, and adherence to data standards.


9. Overcoming political, cultural, and ethical obstacles is crucial for effective data sharing and collaboration, which can help build trust and benefit countries that share genetic data.