Prosecution Insights
Last updated: April 19, 2026
Application No. 18/263,162

THEORY-MOTIVATED DOMAIN CONTROL FOR OPHTHALMOLOGICAL MACHINE-LEARNING-BASED PREDICTION METHOD

Non-Final OA §101§102§103
Filed
Jul 27, 2023
Examiner
MATHEW, SEEMA
Art Unit
3774
Tech Center
3700 — Mechanical Engineering & Manufacturing
Assignee
Technische Universität München
OA Round
1 (Non-Final)
71%
Grant Probability
Favorable
1-2
OA Rounds
3y 4m
To Grant
98%
With Interview

Examiner Intelligence

Grants 71% — above average
71%
Career Allow Rate
491 granted / 689 resolved
+1.3% vs TC avg
Strong +26% interview lift
Without
With
+26.5%
Interview Lift
resolved cases with interview
Typical timeline
3y 4m
Avg Prosecution
29 currently pending
Career history
718
Total Applications
across all art units

Statute-Specific Performance

§101
0.4%
-39.6% vs TC avg
§103
46.6%
+6.6% vs TC avg
§102
29.3%
-10.7% vs TC avg
§112
14.6%
-25.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 689 resolved cases

Office Action

§101 §102 §103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-9 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. Claim 1, directed to a computer-implemented method for determining refractive power for an intraocular lens: Step 1: Claim 1 falls within the statutory category, the claim is directed to a process. Therefore, step 1 is met by the claim. Step 2A, prong one: This part of the eligibility analysis evaluates whether the claim recites a judicial exception. The steps in claim 1 are directed to the use of mathematical calculations (a physical model for determining refractive power) and using a computer to receive training data to generate input data (training a machine learning system with measured clinical ophthalmological training data). These steps are all being performed by a computer therefore, the computer is merely used to perform an abstract idea and meets prong one. Step 2A, prong two: evaluating whether the claim as a whole integrates the judicial exception into a practical application. The limitations are directed to receiving training data that are stored in a computer system. The computer is merely used as a tool for receiving data and providing an output, this does not integrate the judicial exception into a practical application. Step 2B: This part of eligibility analysis evaluates wherein the claim amounts to significantly more than the recited exception, wherein any additional element or combination of additional elements adds an inventive concept to the claim. The steps involve getting training data and desired results from a learning model which amounts to no more than instructions using a computer therefore, it does not provide additional elements other than instructions to implement an abstract idea. Therefore, it does not provide an inventive concept. Claim 9, directed to a system for determining refractive power for an intraocular lens: Step 1: Claim 9 falls within the statutory category, the claim is directed to a machine (having a system with memory for storing and measuring ophthalmological data of patient). Therefore, step 1 is met by the claim. Step 2A, prong one: This part of the eligibility analysis evaluates whether the claim recites a judicial exception. The limitations are directed to a system for receiving data and providing mathematical calculations and storing a memory for measured data. Therefore, a computer is merely being used as a tool to perform an abstract idea and meets the prong one. Step 2A, prong two: evaluating whether the claim as a whole integrates the judicial exception into a practical application. The limitations are directed to a system for receiving training data. The computer is merely used as a tool for receiving data and providing an output, this does not integrate the judicial exception into a practical application. Step 2B: This part of eligibility analysis evaluates wherein the claim amounts to significantly more than the recited exception, wherein any additional element or combination of additional elements adds an inventive concept to the claim. The system uses training data and associated results to determine refractive power, therefore it does not provide additional elements other than instructions to implement an abstract idea. Therefore, it does not provide an inventive concept. Dependent claims 2-8 are also rejected for the same reasons set forth above and because they also fail to recite an additional element that constitutes a practical application or significantly more. Claims 10-17 are rejected under 35 U.S.C. 101 because the claimed invention is directed to nonstatutory subject matter. The claims do not fall within at least one of the four categories of patent eligible subject matter because: Step 1: Claim 10, is ineligible subject matter and does not fall within the statutory category. The claim is directed to a computer program which is considered a product that is not tangible or physical, just a software. Therefore, step 1 is not met by the claim. Dependent claims 11-17 are also rejected for the same reasons set forth above. Priority Receipt is acknowledged of certified copies of papers required by 37 CFR 1.55. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claim(s) 10 and 13-14 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Bor et al. U.S. Publication 2020/0015894. Regarding Claim 10, Bor et al. discloses a computer program product 500 for determining refractive power for an intraocular lens to be inserted (paragraphs [0008], [0067], [0071]), wherein the computer program product comprises a computer-readable storage medium 510 comprising program instructions stored thereon (paragraphs [0008], [0062], [0067], [0071]), wherein the program instructions are executable by one or more computers or control units (paragraphs [0008], [0065] and [0071]) and cause said one or more computers or control units to carry out the method set forth in claim 1 (the computer program product is capable of carrying out the method steps of claim 1 of determining refractive power). Regarding Claim 13, Bor et al. discloses wherein the measured ophthalmological data are OCT image data (paragraphs [0025], [0040]) or wherein the measured ophthalmological data are explicit values derived from OCT image data or wherein the measured ophthalmological data comprise both OCT image data and values derived from OCT image data (paragraphs [0040-0041] and as seen in Figure 2). Regarding Claim 14, Bor et al. discloses wherein an expected position of the intraocular lens to be inserted is used as additional input data for the machine learning system (paragraphs [0007-0008], [0019], [0022], [0037], [0055], [0059]). Regarding Claim 15, Bor et al. discloses wherein the learning model of the machine learning system, before the training with measured ophthalmological data, has already been trained by artificially generated training data based on laws of the physical model provided (abstract and paragraphs [0022-0024] and [0058]). Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claim(s) 16-17 is/are rejected under 35 U.S.C. 103 as being unpatentable over Bor et al. U.S. Publication 2020/0015894 in view of Ladas U.S. Publication 2019/0099262 A1. Regarding Claim 16, Bor et al. does not expressly disclose wherein the physical model also comprises literature data for determining refractive power for an intraocular lens. Ladas teaches using a computer program (software or combination of computer systems, paragraphs [0030-0033]) to determine the intraocular lens power based on formula and lens selection parameter (abstract), the computer system 300 includes one or more processors 304 connected to a network 306 and using a physical model include a literature data to provide formulas that would determine the lens power (paragraph [0005]). Therefore, it would have been obvious to one having ordinary skill in the art before the effective filing date of the claimed invention to modify Bor’s computer system to further include literature data as taught by Ladas for the purpose of providing formulas that would determine the lens power. Regarding Claim 17, Bor et al. does not expressly disclose wherein the intraocular lens to be inserted is a spherical, toric or multifocal intraocular lens to be inserted. Ladas teaches using a computer program (software or combination of computer systems, paragraphs [0030-0033]) to determine the intraocular lens power based on formula and lens selection parameter (abstract), the computer system 300 includes interfaces that having measurements and parameters to select toric intraocular lens (paragraph [0044]). Therefore, it would have been obvious to one having ordinary skill in the art before the effective filing date of the claimed invention to modify Bor’s computer system to further include interfaces that having measurements and parameters to select toric intraocular lens as taught by Ladas for the purpose of having different types of IOLS for different patient needs. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to SEEMA MATHEW whose telephone number is (571) 270-1452. The examiner can normally be reached on Monday-Friday 9 am – 5 pm. If attempts to reach the examiner by telephone are unsuccessful, please contact the examiner’s supervisor, SPE, Melanie Tyson at (571) 272-9062. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /SEEMA MATHEW/ Primary Examiner, Art Unit 3774
Read full office action

Prosecution Timeline

Jul 27, 2023
Application Filed
Feb 11, 2026
Non-Final Rejection — §101, §102, §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12594161
SYSTEMS AND METHODS FOR PREDICTABLE COMMISSURAL ALIGNMENT OF A REPLACEMENT HEART VALVE
2y 5m to grant Granted Apr 07, 2026
Patent 12575929
INTEGRATED VALVE ASSEMBLY AND METHOD OF DELIVERING AND DEPLOYING AN INTEGRATED VALVE ASSEMBLY
2y 5m to grant Granted Mar 17, 2026
Patent 12564491
MULTI-LAYER COVERING FOR A PROSTHETIC HEART VALVE
2y 5m to grant Granted Mar 03, 2026
Patent 12551207
HEART VALVE PROSTHESIS AND METHOD
2y 5m to grant Granted Feb 17, 2026
Patent 12539422
Heart help device, system and method
2y 5m to grant Granted Feb 03, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
71%
Grant Probability
98%
With Interview (+26.5%)
3y 4m
Median Time to Grant
Low
PTA Risk
Based on 689 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month