Ex Parte Schwaibold et alDownload PDFPatent Trial and Appeal BoardFeb 5, 201811596616 (P.T.A.B. Feb. 5, 2018) Copy Citation United States Patent and Trademark Office UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O.Box 1450 Alexandria, Virginia 22313-1450 www.uspto.gov APPLICATION NO. FILING DATE FIRST NAMED INVENTOR ATTORNEY DOCKET NO. CONFIRMATION NO. 11/596,616 08/21/2007 Matthias Schwaibold 6580-P50120 1086 13897 7590 ( Abel Law Group, LLP 8911 N. Capital of Texas Hwy Bldg 4, Suite 4200 Austin, TX 78759 EXAMINER WEARE, MEREDITH H ART UNIT PAPER NUMBER 3735 NOTIFICATION DATE DELIVERY MODE 02/07/2018 ELECTRONIC Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. Notice of the Office communication was sent electronically on above-indicated "Notification Date" to the following e-mail address(es): mail @ Abel-IP.com hmuensterer @ abel-ip. com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte MATTHIAS SCHWAIBOLD, BERNHARD SCHOLLER, and LUDGER GROTE Appeal 2017-001563 Application 11/596,616 Technology Center 3700 Before JEFFREY N. FREDMAN, RYAN H. FLAX, and DEVON ZASTROW NEWMAN, Administrative Patent Judges. FREDMAN, Administrative Patent Judge. DECISION ON APPEAL This is an appeal1 under 35U.S.C. § 134 involving claims to a device for determining the severity of a person’s illness. The Examiner rejected the claims as lacking patent utility and as obvious. We have jurisdiction under 35 U.S.C. § 6(b). We affirm. Statement of the Case Background “In many illnesses, including, for example, illnesses related to a patient’s sleep, there are dependent relationships with cardiovascular diseases” (Spec. 1). “Various measuring methods are already known for 1 Appellants identify the Real Party in Interest as Weinmann Gerate fur Medizin GmbH & Co. KG (see App. Br. 3). Appeal 2017-001563 Application 11/596,616 determining individual parameters related to the autonomic regulation of the cardiovascular system” (id.). According to the Specification “no methods or devices have been disclosed which relate to a comprehensive evaluation of the measured values for comprehensive consideration of the individual factors in the determination of the severity of the illness” (id. at 2). The Claims Claims 39-64 and 69-77 are on appeal. Independent claim 39 is representative and reads as follows: 39. A device for determining the severity of a person’s illness, wherein the device comprises: (a) a single sensor, the single sensor being a sensor for a noninvasive measurement of at least one signal that is dependent on the autonomic regulation of the cardiovascular system of the person, which sensor is operative to acquire the at least one signal using photoplethysmography; (b) an evaluation device comprising (i) a calculation unit for converting the at least one signal provided by the sensor into a state parameter including oxygen saturation of the person’s blood and amplitude variation of the oxygen saturation over time; (ii) an index-determining device for calculating the number of oxygen saturation amplitude drops per hour as a first index and the time during which oxygen saturation amplitude values are above a predetermined value as a second index; and (iii) a comparison device that analyzes the first index and the second index by taking into consideration at least one additional parameter including one or more of age, weight, sex, case history and medication of the person to provide a value that is characteristic of the severity of the person’s illness; and (c) an output device for the characteristic value provided by the comparison device. 2 Appeal 2017-001563 Application 11/596,616 The Issues A. The Examiner rejected claims 39-53, 55—63, and 69-76 under 35 U.S.C. § 103(a) as obvious over Magalang2 and Westbrook3 (Final Act. 4— 18). B. The Examiner rejected claims 54, 64, and 77 under 35 U.S.C. § 103(a) as obvious over Magalang, Westbrook, and Massad4 (Final Act. 18—19). C. The Examiner rejected claims 39-64 and 69-77 under 35 U.S.C. § 101 as lacking patentable subject matter (Final Act. 2—3). A. 35 U.S.C. § 103(a) over Magalang and Westbrook The Examiner finds Magalang teaches a pulse oximeter sensor and calculating device as claimed (see Final Act. 5—6), but “does not teach the index-determining device calculates the second index based on the time during which oxygen saturation amplitude values are above the predetermined value or limit” (id. at 6) and does not teach “taking into consideration at least one additional parameter including one or more of age, weight, sex, case history and medication of the person to provide a value that is characteristic of the severity of the person’s illness” (id. at 7). The Examiner identifies two alternative teachings to suggest the second index of the index-determining device. The Examiner first finds “Magalang discloses the calculation comprises determining the time as a proportion of total recording time” (Final Act. 6) and therefore the ordinary 2 Magalang et al., Prediction of the Apnea-Hyp opnea Index From Overnight Pulse Oximetry, 124 CHEST 169^U1701 (2003). 3 Westbrook et al., WO 02/065901 A2, published Aug. 29, 2002. 4 Massad, US 2004/0077934 Al, published Apr. 22, 2004. 3 Appeal 2017-001563 Application 11/596,616 artisan “would recognize that the proportion calculated by Magalang could alternatively be calculated from the cumulative time during which oxygen saturation amplitude values are above the predetermined percentage value by determining said time as a proportion of total recording time and subtracting the proportion from the whole” (id.). The Examiner, in addition, finds Westbrook teaches a pulse oximeter system with a calculation unit that measures “the time during which the oxygen saturation amplitude values are above a predetermined value as a second index” (Final Act. 7). The Examiner finds it would have been obvious to “modify the device/method of Magalang with calculating the time during which oxygen saturation amplitude values are above a predetermined value as an alternative or additional index as taught by Westbrook in order to classify desaturation occurrences into desaturation types, which may be utilized in clinical diagnosis of apnea risk” (id.). The Examiner also finds Westbrook teaches “taking into consideration at least one additional parameter including age, weight, sex and case history of the person to provide a value that is characteristic of the severity of the person’s sleep apnea” (Final Act. 8). The Examiner finds it would have been obvious to “further modify the device/method of Magalang ... in order to utilize the patient’s prior probability of risk for obstructive sleep apnea (e.g., based on the additional parameters) and provide a determination of an overall risk for OSA” (id. at 8—9). The issue with respect to this rejection is: Does the evidence of record support the Examiner’s conclusion that Magalang and Westbrook render claim 39 obvious? 4 Appeal 2017-001563 Application 11/596,616 Findings of Fact 1. Magalang teaches “obstructive sleep apnea (OSA) syndrome is a major health problem affecting 2 to 4% of the middle-aged population . . . Several quantitative indexes derived from overnight pulse oximetry have been used to predict the presence of OSA” (Magalang 1694, col. 1 to 1695, col. 1). 2. Magalang teaches: “Pulse oximetry data were collected as part of the polysomnography . . . The oximeters in both sleep laboratories employed a moving average of 3 [seconds]” {Id. at 1695, col. 2). 3. Magalang teaches the “oximetry data were then extracted from the computerized polysomnography system for further off-line analysis. Oximetry data were averaged over 2-s sampling intervals” (Id. at 1695, col. 2 to 1696, col. 1). 4. Magalang teaches “criteria for an event were a decrease of at least the set amount (2%, 3%, or 4%) in oxygen saturation from the initial data value for at least 10 s” (Id. at 1696, col. 1). 5. Magalang teaches a “A index was calculated as the average of absolute differences of oxygen saturation between successive 12-s intervals (sum of the absolute differences between two successive points, divided by the number of intervals measured). The index quantifies oxygen saturation variability” (Id. at 1696, col. 1 (citation omitted)). 6. Magalang teaches “10 indexes were calculated for each patient in the derivation group using a computer program: A index, number of desaturation events (to 2%, 3%, and 4% levels) per hour of recording time, 5 Appeal 2017-001563 Application 11/596,616 and the cumulative time spent below 90%, 88%, 86%, 84%, 82%, and 80% saturation as a proportion of total recording time” {Id. at 1696, col. 1). 7. Magalang teaches: We used modem multivariate regression techniques to develop a prediction model of the AHI [apnea-hypopnea index] from the calculated quantitative indexes with commercially available software . . . The various indexes of overnight oximetry correlated with each other. As a result, we anticipated that the models may be unstable and that the stmcture of the model would depend heavily on the cases used in the derivation set. To address this issue, we used one of a new group of techniques (“committee of experts”) that used the aggregated result from 20 different models. Details of the approach that we used are provided in the appendix. The prediction model was validated in two independent facilities so that it could be used as a predictive instmment. {Id. at 1696, col. 1 (citations omitted)). 8. Magalang teaches an “oximeter can be sent home with the patient, and after the overnight recording mailed back to the sleep laboratory or physician’s office for downloading of the data and a computer-generated report of the predicted AHI with its 95% Cl reported back to the physician through an automated system” {Id. at 1700, col. 1). 9. Magalang teaches, regarding “Clinical Applicability and Controversy”, the “fact that our prediction was validated in two independent sleep laboratories suggests that the model could be potentially applied widely, although its impact on clinical practice has yet to be established” {Id. at 1699, col. 2). Magalang concludes: “We have developed a novel prediction model of the AHI using a combination of these quantitative oximetry indexes with a better precision compared to using a single index. 6 Appeal 2017-001563 Application 11/596,616 We validated this improved prediction in two independent sleep clinics prospectively” (Id. at 1700, col. 1). 10. Figure 1 of Westbrook is reproduced below: ensfon yt-lF-" i >,Davt i m eD ro w s i n ess 7t*iA Lsrtbn *•:>.'Al,6ehoirUse In 'Vs^1 L 'Physio- \ logical ■Monitor /„ / \ Docking \ Station / “As indicated in Fig. 1, the preferred embodiment includes an Apnea Risk Evaluation System (ARES) questionnaire that is filled out by a sleep study patient” (Westbrook 15:7—8). 11. Westbrook teaches the Apnea Risk Evaluation System (ARES) constructed in accordance with the present invention is an integrated system to assess the level of risk for SA [sleep apnea]. Components of the system, including: (a) the physiological monitor that can be easily self-applied to the forehead and comfortably worn throughout the night to collect full-disclosure physiological 7 Appeal 2017-001563 Application 11/596,616 recordings, (b) software which classifies types of respiratory events, and (c) a questionnaire and analysis (ARES Profile Analysis) which establishes an individual’s prior probability of being at risk for SA, have been previously discussed. The expert system integrates outputs from these components in combination with a database of healthy subjects and patients in order to classify levels of risk for SA and generate a result report. (Id. at 46:4—13). 12. Westbrook teaches” To improve the accuracy of the system 10, a method was developed for quantifying pre-existing risk factors for SA and assigning a prior probability of sleep apnea 18 that can be combined with the results from the physiological data into an integrated multi-variate classification model. The analysis of pre-existing risk factors for SA includes, but is not limited to, responses to demographic, life-style and quality of life questions, including age, gender, body mass index (BMI), neck circumference, frequency and manifestation of excessive daytime sleepiness, frequency and magnitude of snoring, observed apneas, history of hypertension and use of alcohol. (Id. at 43:12 to 44:5). 13. Westbrook teaches a “physiological monitoring system 12 is shown as including a low-powered lightweight monitor device 30 that incorporates the necessary pulse oximetry (Sp02) sensor components, such as sensors, amplifiers, filtering, and the like” (Id. at 17:11—13). 14. Westbrook teaches the “process of measuring oxyhemoglobin saturation in accordance with the present invention, after data has been collected, follows generally accepted [principles]” (Id. at 29:12—13). 8 Appeal 2017-001563 Application 11/596,616 15. Westbrook teaches that after data collection “additional techniques were empirically derived in order to classify the desaturations into types. In the present preferred embodiment, a DEI type is defined as a desaturation occurrence that has a high probability of being due to an obstructive sleep apnea or hypopnea” (Id. at 37:2—5). 16. Westbrook teaches: First, the slope of the DEI resaturation is quite steep. For example, a DEI is classified when the nadir is >= 86%, and at least a 3.8% recovery is detected in <= 6 seconds from the nadir to the point of maximum resaturation. . . . Second, the slope of the desaturation must decline steadily from the point of peak saturation. (Id. at 37:9-16). 17. Westbrook also teaches: computation of the: (a) total number of respiratory events (by and across types) across positions per hour of recording and over entire recording session and by position per hour of recording and over entire session; (b) average number of respiratory events (by and across types) per hour of recording time (RDI) across and by position over the entire session; and (c) number of 5-minute blocks of time with snoring void of respiratory events across and by position over the entire session. (Id. at 46:15-20). Principles of Law The Examiner has the initial burden of establishing a prima facie case of obviousness under 35 U.S.C. § 103. In re Oetiker, 977 F.2d 1443, 1445 (Fed. Cir. 1992). “The combination of familiar elements according to known methods is likely to be obvious when it does no more than yield 9 Appeal 2017-001563 Application 11/596,616 predictable results.” KSRInt’l Co. v. Teleflex Inc., 550 U.S. 398, 416 (2007). Analysis We adopt the Examiner’s findings of fact and reasoning regarding the scope and content of the prior art (Final Act. 4—18; FF 1—17) and agree that the claims are obvious over Magalang and Westbrook. We address Appellants arguments below. Appellants contend: the objective of the study described in MAGAFANG clearly is not to obtain any information relating to the health or illness of an individual patient, let alone the severity of an individual patient’s illness. For this reason alone, one of ordinary skill in the art would not be motivated to combine the disclosure of MAGAFANG with the disclosure of WESTBROOK, which is concerned with the evaluation of individual patients. (App. Br. 14—15). Appellants contend Magalang’s “study was to find out, based on a statistical analysis of data obtained from several hundred patients, whether the (mere) presence or absence of AHI can reliably be determined by using data obtained by simple pulse oximetry instead of (much more burdensome and complicated) standard overnight polysomnography” (Id. at 16-17). We find these arguments unpersuasive because Magalang expressly considers clinical applicability of the device by suggesting “the model could be potentially applied widely” to patients (FF 9), specifically providing the example of an oximeter “sent home with the patient. . . and a computer generated report of the predicted AHI [apnea-hypopnea index]. . . reported back to the physician through an automated system” (FF 8). This direct 10 Appeal 2017-001563 Application 11/596,616 suggestion to apply Magalang’s apnea indices to clinical practice with a determination of the severity of illness as predicted by the apnea-hypopnea index for a specific patient provides the ordinary artisan with a reason to combine Magalang’s device with Westbrook’s patient-centered apnea risk evaluation system (FF 10—12). We therefore agree with the Examiner that “Magalang not only teaches calculating a predicted AHI... for each individual patient involved in the study, but also suggests calculating this predicted AHI for subsequent individuals as a simpler, less expensive and cumbersome alternative to overnight PSG” (Ans. 6). Appellants contend “one of ordinary skill in the art will readily recognize that within the framework of the study reported in MAGALANG it would not serve any useful purpose to additionally consider any parameter relating to age, weight, etc. of any or all individual patients which participated in the study” (App. Br. 17). We find this argument unpersuasive because it fails to address the teachings of Magalang and Westbrook in combination. It is the combination of Magalang and Westbrook that renders claim 39 obvious, not the teachings of Magalang alone. As the Examiner notes “Magalang expressly suggests utilizing the predicted AHI calculation for individuals in place of PSG . . . Similarly, Westbrook discloses consideration of additional patient parameters (e.g., age, weight, sex, etc.) in addition to an AHI value in an expert system to accurately classify levels of risk for sleep apnea” (Ans. 7; cf. FF 1-17). Moreover, Westbrook specifically teaches to “improve the accuracy of the system 10, a method was developed for quantifying pre-existing risk 11 Appeal 2017-001563 Application 11/596,616 factors for [sleep apnea] and assigning a prior probability of sleep apnea 18 that can be combined with the results from the physiological data into an integrated multi-variate classification model” (FF 12). Westbrook teaches pre-existing risk factors for sleep apnea include age, gender, body mass index (BMI) (see FF 12). Thus, Westbrook directly suggests that factors such as age, gender, and weight are useful to improve the accuracy of classification models, such as the model of Magalang, for proper diagnosis of sleep apnea. “Non-obviousness cannot be established by attacking references individually where the rejection is based upon the teachings of a combination of references.” In re Merck & Co., 800 F.2d 1091, 1097 (Fed. Cir. 1986). Appellants contend: considering the preliminary nature of the findings reported in MAGALANG, it is only with hindsight that one can conclude that a person of ordinary skill in the art would be motivated to further develop the method disclosed therein (or a similar one), let alone to additionally take into account patient-specific information such as age, weight, etc. in order to assess the severity of OSA in an individual patient. (App. Br. 18). We find this argument unpersuasive. While we are fully aware that hindsight bias must be avoided in determinations of obviousness, Graham v. John Deere Co., 383 U.S. 1,36 (1966), we are also mindful that the Supreme Court has clearly stated that the “combination of familiar elements according to known methods is likely to be obvious when it does no more than yield predictable results.” KSR, 550 U.S. at 416. Here, improper hindsight reasoning was not required. 12 Appeal 2017-001563 Application 11/596,616 As already discussed, Magalang teaches a “prediction model of the AHI using a combination of these quantitative oximetry indexes with a better precision compared to using a single index” (FF 9). Moreover, Magalang concludes: “We validated this improved prediction in two independent sleep clinics prospectively” (FF 9). The ordinary artisan, interested in improving ease and accuracy of sleep apnea diagnosis, would have had reason to combine the improved prediction indexes of Magalang with the risk factors of Westbrook because Westbrook teaches inclusion of these risk factors further improves diagnosis accuracy (FF 12). Given the express teachings in both Magalang and Westbrook that these factors and indexes improve diagnosis when combined with physiological oximetry data, we agree with the Examiner that the ordinary artisan would have had reason to “utilize or ‘further develop’ the overnight pulse oximetry techniques disclosed by Magalang” (Ans. 8) by incorporating the improved factors of Westbrook (FF 12). Appellants contend “one of ordinary skill in the art would conclude that pulse oximetry is not even useful for detecting mild to moderate OSA. This would make it impossible to determine the severity of OSA even if additional patient-specific patient information were available” (App. Br. 18). We find this expectation of success argument unpersuasive because Magalang specifically teaches a “prediction model of the AHI using a combination of these quantitative oximetry indexes with a better precision” (FF 9), while Westbrook teaches accuracy can be improved by combining pre-existing risk factors for sleep apnea with physiological data (FF 11—12). Appellants provide no evidence that the combined techniques of Magalang 13 Appeal 2017-001563 Application 11/596,616 and Westbrook would not reliably provide predictive information regarding the risk of sleep apnea. “Obviousness does not require absolute predictability of success . . . all that is required is a reasonable expectation of success.” In re Kubin, 561 F.3d 1351, 1360 (Fed. Cir. 2009). Conclusion of Law The evidence of record supports the Examiner’s conclusion that Magalang and Westbrook render claim 39 obvious. B. 35 U.S.C. § 103(a) over Magalang, Westbrook, and Mass ad Appellants do not separately argue this obviousness rejection, instead relying upon their arguments to overcome the combination of Magalang and Westbrook. The Examiner provides sound, fact-based reasoning for combining Massad with these references (see Final Act. 18—19). Having affirmed the obviousness rejection of claim 39 over Magalang and Westbrook for the reasons given above, we also conclude that the further combination with Massad renders the rejected claims obvious for the reasons given by the Examiner. C. 35 U.S.C. §101 The Examiner finds all of the claims on appeal unpatentable under 35 U.S.C. § 101 as being directed to patent-ineligible subject matter, specifically “the abstract idea of comparing new patient data and stored information and using categorization rules to categorize the patient data based on severity of an illness” (Final Act. 2—3). The Examiner finds the device claim elements in claim 39 and the method steps in claim 45 “are 14 Appeal 2017-001563 Application 11/596,616 recited at a high level of generality that append well-understood, routine and conventional activities to the judicial exception and are used only for data gathering, therefore representing only insignificant extra-solution activity” {id. at 3). The Examiner concludes “the claims do not include additional elements that are sufficient to amount to significantly more than the judicial exception” {id. at 3). To determine whether a claim is invalid under § 101, we employ the two-step Alice framework. In step one, we ask whether the claims are directed to a patent ineligible concept, such as an abstract idea or law of nature. Alice Corp. Pty. Ltd. v. CLSBankInt’l, 134 S.Ct. 2347, 2355 (2014); Mayo Collaborative Services v. Prometheus Laboratories, Inc., 566 U.S. 66, 75—77 (2012); Ariosa Diagnostics, Inc. v. Sequenom, Inc., 788 F.3d 1371, 1375 (Fed. Cir. 2015). While both device and method claims are generally eligible subject matter, device and method claims that are directed only to abstract ideas and/or natural phenomena are directed to a patent ineligible concept. Ariosa, 788 F.3d at 1376. Alice Step One Claim 39 of the instant application is directed to a device for determining illness severity based on blood oxygen levels with other personal parameters. Claim 45 is a method incorporating the device of claim 39. The device and related process are directed to both a law of nature and an abstract idea. In particular, the law of nature/natural phenomenon is the relationship between parameters including blood oxygen levels, age, weight, sex, etc. and severity of apnea. Cf. Mayo, 566 U.S. at 77 (“[Fjaws of nature—namely, relationships between concentrations of certain metabolites 15 Appeal 2017-001563 Application 11/596,616 in the blood and the likelihood that a dosage of a thiopurine drug will prove ineffective or cause harm.”). That the relationship is obtained using a blood oxygen measuring device and computer processing of the test history data does not change the fact that the relationship between apnea severity and natural phenomenon such as sleeping blood oxygen levels and age, weight, or sex “exists in principle apart from any human action.” Mayo, 566 U.S. at 77. In addition, the recited “calculation unit,” “index-determining device,” and “comparison device” all involve categorizing and/or analyzing information. Our reviewing Court has explained that “[information as such is an intangible” and “that collecting information, including when limited to particular content (which does not change its character as information),” analyzing it, and presenting the results of the collection and analysis without more are patent ineligible abstract concepts. See, e.g., Electric Power Group, LLCv. Alstom S.A., 830 F.3d 1350, 1353-54 (Fed. Cir. 2016). Because the claims are directed to an abstract idea/natural law, we turn to the second step of the Alice framework. Alice Step Two In Alice step two, we examine the elements of the claims to determine whether they contain an inventive concept sufficient to transform the claimed naturally occurring phenomena into a patent-eligible application. Mayo, 566 U.S. at 71—72 (quoting Alice, 134 S.Ct. at 2355). We must consider the elements of the claims both individually and as an ordered combination to determine whether additional elements transform the nature of the claims into a patent-eligible concept. Ariosa, 788 F.3d at 1375. 16 Appeal 2017-001563 Application 11/596,616 We are not persuaded by Appellants’ argument that “the Examiner has not provided any evidence which would show that all of the activities recited in the instant claims are ‘conventional activities previously known to the pertinent industry’” (App. Br. 10). As evidenced by our affirmance of the obviousness rejection above, we find that Magalang and Westbrook teach all of the elements required for claim 39, including the use of device with a sensor for measurement of blood oxygen levels (FF 2, 13, 14), a computer that analyzes the blood oxygen level to create an indexes of the oxygen levels above and below specific values (FF 3—7, 15—17) and includes comparisons of additional parameters such as age and weight (FF 10-12), and outputs the final information to a physician (FF 8). Our conclusion that these elements are routine and conventionally used is buttressed by the absence of any disclosure in Appellants’ Specification that recites any specific novel details for the sensor, the calculation unit, the index determining device, the comparison device, or the output device (see, e.g., Spec. 11—13). In sum, the evidence of record supports the Examiner’s position that the claims do not add something “significantly more” to the abstract idea and/or law of nature. Instead, each of the steps in the claims “are conventional, routine, and well-known. They involve the normal, basic functions of a computer.” Versata Development Group, Inc. v. SAP America, Inc., 793 F.3d 1306, 1335 (Fed. Cir. 2015). In order for the addition of a machine to impose a meaningful limit on the scope of a claim, it must play a significant part in permitting the claimed method to be performed, rather than 17 Appeal 2017-001563 Application 11/596,616 function solely as an obvious mechanism for permitting a solution to be achieved more quickly, i.e., through the utilization of a computer for performing calculations. SiRF Tech., Inc. v. Int’l Trade Comm’n, 601 F.3d 1319, 1333 (Fed. Cir. 2010). We conclude that the practice of the device or method claims does not result in an inventive concept that transforms the abstract idea/natural phenomena of determining illness severity based on blood oxygen levels with other personal parameters for a patient into a patentable invention. Mayo and Ariosa make clear that transforming claims that are directed to a law of nature requires more than simply stating the law of nature while adding the words “apply it,” literally or figuratively. Mayo, 566 U.S. at 72; Ariosa, 788 F.3d at 1377. Appellants contend the “rejection consists merely of boilerplate assertions, without any explanation and/or supporting evidence, let alone a detailed analysis” (App. Br. 9). We are not persuaded because the Examiner properly identified the natural law and abstract idea (see Final Act. 2—3) and recognized that all of the remaining elements do not add significantly more, particularly as shown by the teachings of Magalang and Westbrook in the obviousness rejection (see Final Act. 4—19). Appellants contend the “Examiner has failed to identify a concept that the courts have identified as an abstract idea and is similar to the concept reflected in the instant claims, which is yet another reason why the instant rejection is without merit” (App. Br. 11). 18 Appeal 2017-001563 Application 11/596,616 We find this argument unpersuasive because the Examiner directly compared the facts to those in SmartGene, Inc. v. Advanced Biological Laboratories, SA, 555 Fed. Appx. 950, 955 (Fed. Cir. 2014) (see Final Act. 2021). In SmartGene, the claims were directed towards selection of a treatment regimen by using a computer with knowledge bases and expert rules to create a ranked list of treatments and advisory information. SmartGene, 555 Fed. Appx. at 952. Just as in SmartGene, the current claim 39 “does not purport to identity new computer hardware: it assumes the availability of physical components for input, memory, look-up, comparison, and output. Nor does it purport to identity any steps beyond those which doctors routinely and consciously perform.” Id. at 955. That is, neither claim 39 nor the Specification identity any new sensor, computer, or output device. Nor does the claim demonstrate that the indexes, which are simply computerized analysis of data ordinarily reviewed by physicians, represent anything beyond that already demonstrated as known by Magalang and Westbrook (FF 1—17). In such a context SmartGene noted “the concern about preempting public use of certain kinds of knowledge, emphasized in Mayo, is a grave one.” SmartGene, 555 Fed. Appx. at 955. Appellants contend: The method of SmartGene further does not take into account any patient-specific data (e.g., age, weight, etc.) and also does not provide any information regarding a specific patient (e.g., the severity of the patient’s illness) but merely provides “advisory information for one or more therapeutic treatment regimens in said ranked listing based on said patient information and said expert rules”. In other words, the method of SmartGene is completely theoretical, i.e., can be carried out 19 Appeal 2017-001563 Application 11/596,616 even without an actual patient or can be carried out on a hypothetical patient. (App. Br. 12). We find this argument unpersuasive because Appellants cite no authority that a claim applying a method or device drawn to “determining” or “evaluating” “the severity of a person’s illness” for a specific patient renders the claim patent-eligible (see claims 39 and 45). The claim in Smartgene clearly required an actual patient because the method was drawn to “selection of a therapeutic treatment regimen for a patient with a known disease.” SmartGene, 555 Fed. Appx. at 951. Similarly, in Mayo itself, the claim was directed to measuring “the level of 6-thioguanine in said subject,” a test of a sample from a specific patient, but the Supreme Court found the claim “not sufficient to transform unpatentable natural correlations into patentable applications.” Mayo, 566 U.S. at 74, 80. Appellants contend that “[i]t is not seen that a corresponding device is an abstract idea or not significantly more than an abstract idea” (App. Br. 13). We find this argument unpersuasive because simply adding one or more known apparatus to an abstract idea is insufficient because the “Supreme Court and [the Federal Circuit] have repeatedly made clear that merely limiting the field of use of the abstract idea to a particular existing technological environment does not render the claims any less abstract.” Affinity Labs of Texas, LLCv. DIRECTV, LLC, 838 F.3d 1253, 1259 (Fed. Cir. 2016). The Court was likewise not persuaded by a Patent Owner’s attempt “to distinguish its claims from those found to be abstract in Alice 20 Appeal 2017-001563 Application 11/596,616 and other cases by showing that its claims require not only a computer but also an additional machine—a scanner.” Content Extraction & Transmission LLC v. Wells Fargo Bank, Nat’l Ass ’n, 776 F.3d 1343, 1347 (Fed. Cir. 2014). That is, simply because a claim is drawn to a device rather than a method does not necessarily render the claim patent eligible. We therefore conclude that Supreme Court and Federal Circuit precedent constrains us to conclude that all of the claims on appeal are directed to patent-ineligible subject matter. SUMMARY In summary, we affirm the rejection of claim 39 under 35 U.S.C. § 103(a) as obvious over Magalang and Westbrook. Claims 40-53, 55—63, and 69-76 fall with claim 39. We affirm the rejection of claims 54, 64, and 77 under 35 U.S.C. § 103(a) as obvious over Magalang, Westbrook, and Massad. We affirm the rejection of claims 39-64 and 69-77 under 35 U.S.C. § 101 as lacking patentable subject matter. No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a). AFFIRMED 21 Copy with citationCopy as parenthetical citation