Federal Register / Vol. 89, No. 210 / Wednesday, October 30, 2024 / Notices 86343 

ANNUAL BURDEN ESTIMATES

Instrument Number of 

respondents 

Number of 

responses per 

respondent 

Average 

burden hours 

per response 

Annual burden 

hours 

ANA Project Outcome Assessment Survey .................................................... 85 1 6 510 

Comments: The Department 

specifically requests comments on (a) 

whether the proposed collection of 

information is necessary for the proper 

performance of the functions of the 

agency, including whether the 

information shall have practical utility; 

(b) the accuracy of the agency’s estimate 

of the burden of the proposed collection 

of information; (c) the quality, utility, 

and clarity of the information to be 

collected; and (d) ways to minimize the 

burden of the collection of information 

on respondents, including through the 

use of automated collection techniques 

or other forms of information 

technology. Consideration will be given 

to comments and suggestions submitted 

within 60 days of this publication. 

Authority: 42 U.S.C. 2992. 

Mary C. Jones, 

ACF/OPRE Certifying Officer. 

[FR Doc. 2024–25139 Filed 10–29–24; 8:45 am] 

BILLING CODE 4184–34–P 

DEPARTMENT OF HEALTH AND 

HUMAN SERVICES 

National Institutes of Health 

Government Owned Inventions 

Available for Licensing/Collaboration: 

Using Artificial Intelligence To 

Diagnose Uveitis 

AGENCY: National Institutes of Health, 

HHS. 

ACTION: Notice. 

SUMMARY: The National Eye Institute 

seeks (NEI), an institute of the National 

Institutes of Health (NIH), Department 

of Health and Human Services (HHS), is 

giving notice of the licensing and 

collaboration opportunity for the 

inventions listed below, which are 

owned by an agency of the U.S. 

Government and are available for 

licensing/collaboration in the U.S. to 

achieve expeditious commercialization 

of results of federally-funded research 

and development. 

FOR FURTHER INFORMATION CONTACT: 

Inquiries related to this licensing/ 

collaboration opportunity should be 

directed to: Hiba Alsaffar, Ph.D., 

Technology Transfer Manager, NCI, 

Technology Transfer Center, Email: 

hiba.alsaffar@nih.gov or Phone: 240– 

276–7489. 

SUPPLEMENTARY INFORMATION: Uveitis is 

caused by inflammation in the eye that 

can cause pain and reduce vision. The 

rate of uveitis in the United States is 1 

in every 200 people with eye-related 

irritation. Permanent symptoms such as 

vision loss can occur if untreated. 

Therefore, early detection is crucial. In 

certain uveitis cases, fluorescein 

angiography (FA) is essential for the 

diagnosis and management due to its 

ability to display retinal vascular 

leakage (RVL). Although proven to be 

critical in diagnosing and assessing 

severity, FA is invasive and side effects 

have been reported. Additionally, the 

procedure is time-consuming and 

imposes economic burdens to patients, 

physicians and payors. Scientists at the 

NEI have developed a deep learning tool 

to non-invasively detect RVL using 

ultrawide-field color fundus photos. 

This algorithm identifies fundus images 

with and without RVL with high 

accuracy (79%) and sensitivity (85%). 

Compared to the current gold standard 

of assessing RVL (clinician 

interpretation), this deep learning tool 

provides an improved method of 

detecting RVL for patients with uveitis. 

This Notice is in accordance with 35 

U.S.C. 209 and 37 CFR part 404. 

NIH Reference Number: E–005–2023– 

0. 

Potential Commercial Applications: 

• Diagnostic tool to predict uveitis. 

• Add-on to current color fundus 

imaging modalities. 

Competitive Advantages: 

• Greater accuracy and sensitivity 

versus current gold standard to assess 

RVL (clinician assessment). 

• Deep learning tool to assess RVL. 

• Deep learning to assess ultrawidefield color fundus images and assess 

RVL. 

Publication: Young LH, et al. 

Automated Detection of Vascular 

Leakage in Fluorescein Angiography—A 

Proof of Concept. (PMID 35877095). 

Patent Status: US Provisional 

Application 65/599,446 filed on 

November 15, 2023. 

Development Stage: Prototype. 

Therapeutic Area(s): Eye, Ear, Nose, 

Throat. 

Dated: October 24, 2024. 

Richard U. Rodriguez, 

Associate Director, Technology Transfer 

Center, National Cancer Institute. 

[FR Doc. 2024–25162 Filed 10–29–24; 8:45 am] 

BILLING CODE 4140–01–P 

DEPARTMENT OF HEALTH AND 

HUMAN SERVICES 

National Institutes of Health 

National Heart, Lung, and Blood 

Institute; Notice of Closed Meeting 

Pursuant to section 1009 of the 

Federal Advisory Committee Act, as 

amended, notice is hereby given of the 

following meeting. 

The meeting will be closed to the 

public in accordance with the 

provisions set forth in sections 

552b(c)(4) and 552b(c)(6), Title 5 U.S.C., 

as amended. The grant applications and 

the discussions could disclose 

confidential trade secrets or commercial 

property such as patentable material, 

and personal information concerning 

individuals associated with the grant 

applications, the disclosure of which 

would constitute a clearly unwarranted 

invasion of personal privacy. 

Name of Committee: Heart, Lung, and 

Blood Initial Review Group; NHLBI 

Institutional Training Mechanism Study 

Section. 

Date: December 6, 2024. 

Time: 10 a.m. to 6 p.m. 

Agenda: To review and evaluate grant 

applications. 

Address: National Institutes of Health, 

Rockledge I, 6705 Rockledge Drive, Bethesda, 

MD 20892. 

Meeting Format: Virtual Meeting. 

Contact Person: Michael P. Reilly, Ph.D., 

Scientific Review Officer, Office of Scientific 

Review/DERA, National Heart, Lung, and 

Blood Institute, National Institutes of Health, 

6705 Rockledge Drive, Room 208–Z, 

Bethesda, MD 20892, 301–827–7975, email: 

reillymp@nhlbi.nih.gov. 

(Catalogue of Federal Domestic Assistance 

Program Nos. 93.233, National Center for 

Sleep Disorders Research; 93.837, Heart and 

Vascular Diseases Research; 93.838, Lung 

Diseases Research; 93.839, Blood Diseases 

and Resources Research, National Institutes 

of Health, HHS) 


ddrumheller on DSK120RN23PROD with NOTICES1